R-side 95% confidence interval estimating the prop of women n=1000,20% of women. Find an error:

The wrong quantitle there is 1-ALFA, NOT 1.96

Effect size for variance analysis, how we calculate it:

Intergroup sum of squares / total sum of squares

Hypergeometric distribution is used

for probability distribution of dependent phenomena

30 values, average = 15, median = 13.9... 2 units 10 and 36 are missing.

diameter = 15,5 ; median = 13,9

he variance analysis is used:

When measuring the quant VAR dependence on qualitative VAR

Where is the least squares method used?

When determining regression function parameters

If p 0.03 in the var anal, then we reject the H0 at levels of significance of 0.01 and 0.05.

No. P-value is higher – no reject

The correlation coefficient is calculated as:

Proportion of covariance and product of standard deviations

What does the strength of test 1-β mean when testing hypotheses?

the probability of rejecting an incorrect null hypothesis

Scattering analysis is used to test the dependence of two categorical variables?

No. One qualitative, one quantitate

The error of the point estimate lies in

The mean value is the same as the estimated parameter

The least squares method can be used directly to estimate parameters for non-linear regression

No, Used for estimating parameters of pop regression fnct

Average weight of the cookies is 500 g and median of 575 g. What is the individual weight?

More of the biscuits weighs more than the average.

studbud

Statistics theory

173 termsStudBud Administration28 plays

VSE

Flashcards173 cardsFPractice quizPHost liveL

Questions 173

Answers

1
For normal distribution, the mean value is zero and variance 1
NO
YES
2
R-side 95% confidence interval estimating the prop of women n=1000,20% of women. Find an error:
The square root should be in the denominator only
The wrong quantitle there is 1-ALFA, NOT 1.96
badly read by the root
3
The test criterion is read in the tables and we have to calculate the VAR from test criterion.
NO
YES
4
Effect size for variance analysis, how we calculate it:
Intergroup / Intragroup
Intergroup sum of squares / total sum of squares
nok
5
We clean the quarterly time series from seasonality:
Weighted arithmetic averages
Simple moving averages
Central smoothing averages
Arithmetic averages
6
In increasing attempts, the binomial distribution approaches the normal
YES
NO
7
The frequencies recorded within a PivotTable are called:
Marginal
Relative
Expected
8
Entered 7 salaries, how many employees receiving a salary that is lower than the median?
2
4
3
9
Hypergeometric distribution is used
the probability distribution of independent phenomena
for a continuous probability variable
for probability distribution of dependent phenomena
10
Multiple regression model of 6 unknowns, 2 excluded, coefficient of determination:
Cannot be determined without calculation
become smaller
become bigger
11
The product of the combined selection regression coefficients bxy and byx is always:
One straight
In the interval <0; 1>
Greater than one
12
If we donot reject the hypot, which is incorrect at the significance level of 0.05, we will:
Third order errors
Second order errors
First-order errors
13
If the line directive is negative, it means that the correlation coefficient is negative.
Yes
No
14
We have a base index of 2010 IB = 1.28 2009 base year,chain index for the same period applies
Is equal to 1, 28
Is less than 1.28
It is greater than 1, 28
15
Chi-square
Two quantitative quantities
Three Quantitative Quantities
Theoretical and actual data
16
What is the value of the opposite phenomenon to A?
0
1-P (A)
P (A) -1
17
In bar chart will indicate the frequency:
you can't read
the height of the column
the width of the column
18
Variance of two negative different numbers is
0
negative
positive
19
30 values, average = 15, median = 13.9... 2 units 10 and 36 are missing.
mean = 16 ; median = 14,9
diameter = 15,5 ; median = 13,9
diameter = 15,5 ; median = 14,4
20
he variance analysis is used:
When measuring the quant VAR dependence on qualitative VAR
When measuring qualitativedependence on qualitativevariables
measuring quantitative VAR's dependence on quantitative VAR
21
If, in WAM, we multiply the frequency by a constant, the average is also multiplied by constant
NO
YES
22
If 1 phen. has a P of 0.5 and the other 0.2 and their union is 0.7, then these phenomena are:
Independent
This situation can never happen because
Disjoint
23
Where is the least squares method used?
When assessing the suitability of a model for reg function
When determining regression function parameters
When assessing variance variance in ANOVA assay
24
G in CTable statistics always come out in the interval <-1,1
No (it can not be negative)
Yes
25
The binomial distribution will be used for discrete quantities
NO
YES
26
The CZSO consumer price index is measured and published
once a month
once a week
quarterly
27
If p 0.03 in the var anal, then we reject the H0 at levels of significance of 0.01 and 0.05.
Yes
No. P-value is higher – no reject
28
Wage median for woman = 20, male wage median = 20, total median of 20?
NO
YES
29
What is not diverted extreme values of the basic file:
median
the arithmetic average
the standard deviation
30
The graph the frequency distribution of a continuous variable?
Bar graph
Histogram
The pie chart
31
When we dont have a StDev of the base, we can not apply the standard deviation of the sample
YES
NO
32
The regression parabola is a linear function from the parameter viewpoint
Yes
No
33
The Chi square test has a number of degrees of freedom equal to the number of groups
NO( -1)
YES
34
The variance is always greater than the standard deviation
NO
YES
35
Scattering analysis can be understood as testing the variance matching hypothesis?
N0 (no hypothesis)
Yes
36
For CTables, we will use:
F-test
Student's t-test
Chi-square
37
The correlation coefficient is calculated as:
The variance and product of standard deviations
Proportion of covariance and product of standard deviations
The square of the determination coefficient
38
What does the strength of test 1-β mean when testing hypotheses?
Error 2 type, P not rej incorrect hypothesis if H1 applies
Type I error (= PP rejection of correct hypothesis)
the probability of rejecting an incorrect null hypothesis
39
What is the relative increment when the growth factor = 0.85
15%
0.15
-0.15
40
Scattering analysis is used to test the dependence of two categorical variables?
Yes
No. One qualitative, one quantitate
41
The standard deviation may be negative
NO
YES
42
What we test in variance analysis
Equality of variance
Equality of mean values
Equality of standard deviations
43
Reliability of the estimate is denoted as 1-alpha
NO
YES
44
The error of the point estimate lies in
has the smallest variance
The mean value is the same as the estimated parameter
has the smallest mean value
45
If we add a constant, mean, standard deviation and variance will not change
NO
YES
46
The least squares method can be used directly to estimate parameters for non-linear regression
Yes
No, Used for estimating parameters of pop regression fnct
47
It is possible to make the symmetrical distribution does not match the median?
Is it possible, if they occur to large values.
It's not possible.
It is possible, but only if they occur in too small values.
48
Regression analysis expresses dependence
Two qualitative variables
Quantitative variables on qualitative variables
Two quantitative variables
49
The standard deviation of the random variables can be 0
YES
NO
50
Average weight of the cookies is 500 g and median of 575 g. What is the individual weight?
Median separates the 57.5 % lower weight of biscuits
More biscuits weighs less than the diameter of the
cde
More of the biscuits weighs more than the average.
51
If we add more variables to the model, coefficient of determination:
becomes larger
no changes
become smaller
52
Seasonal variables are only available at quarterly intervals, not monthly or yearly
no
yes
53
What is R ^ 2 for?
to assess the significance of each parameter
compare quality of models with the same number of parameters
compare quality of models with different num of parameters
54
The median can describe the location of the statistics file better than average, if:
Has a greater result than the average
There are several small values in the file
There are rare extremes in the data set
55
For the use of the chi-sqr we assume sufficiently large observed frequency values in each class
No
Yes
56
10% of the standard normal distribution is
0
positive
1
negative
57
Chi-square test of compliance checks the equality of values in individual groups
YES
verifies correspondence btw theoretical and empirical values
NO
58
Only one of the following probability functions is correct for 1,2,3.
P (1) = 0.2; P (2) = 0.4, P (3) = 0.5
P (1) = 0.2; P (2) = 0.4, P (3) = 0.4
P (1) = 0.1; P (2) = 0.4, P (3) = 0.4
59
If we reject Ho: μo = μ1 by a 2s test, then in one of the 1s tes at the same lvl of s we reject
Only in some cases
Always
Impossible
60
How can I convert the instant monthly time series to a quarterly?
Add 3 consecutive monthly values
Add 4 consecutive monthly values
Take each 3rd value from the monthly CR
61
Distribuční function F(х) can acquire values of:
0<F (x)<1
0≤F(x)≤1
-1<F (x)<1
62
Mode
It is 50% quantum - median
It is 25% quantum
It is not among the quanta
63
We estimate the reliability of the estimate:
1-alpha
1 - beta
Beta
64
The test criterion for var anal is constructed as the ratio of the intergroup and total squares
Yes
NO
65
We have sales for February and March for A and B in the sales chain. We will use:
Value index
Paashe's volume index
Some composite index
66
The inflation rate is
Relative price level increase
Price level increase expressed in absolute terms
Relative consumer price index
67
Let’s find confIN on n = 50 values. If we increase the range and now is n = 150, we get:
You can not decide to change the confidence interval width
A wider confidence interval
A lower confidence interval
68
Consumer basket represents
CPI weighting system, prices for all products
Homogeneous product groups whose prices are collected regul
population representative and weighting system
69
When we reject the H0 hypothesis when alpha is 0.1
0.12
-0.02
0.08 if the value is a p-value
70
When you swap rows to columns in PivotTables, this does not affect the result
No
Yes
71
In the pos Tseries value of 1 of the grCoef is 0.85 Then value of the corr rel increment not%
negative, from interval (-1,0)
positive, from interval (0,1)
Negative, less than -1
72
If I reject the null hypothesis on the level of significance, then it is
Second order error
First kind error
2222
73
How many limits and which are reported for one-sided confidence intervals?
1-upper or lower
2-upper and lower
1-only upper
74
avg value of the T series should always be calc as the simple arit mean of their indiv values
yes
no, there are different types
75
Using regression it is possible to measure the dependence of two quantitative variables
No
Yes
76
The critical value is:
A subset of alternative hypothesis values
A subset of the hypothesis tested
A subset of the test criterion values
77
50% of the quantity can not equal 75% of the quotient of the same values
YES
NO
78
If we multiply the weights in the weighted mean by a constant, the average will not change.
YES
NO
79
Sliding averages allow to smooth out the time series and indicate its trend
no
yes
80
The test criterion used in variance analysis is:
with a valid H0, the student has a t-distribution
with a valid H0 has a chi-square distribution
Depending on the number of classes
81
What are the test criteria for an F-test when there are 4 comp and 5 bulbs are examined
3a16
5a20
4a18
82
Is the correlation coefficient used to assess the dependence in variance analysis?
Yes
No
83
When testing a dependency in a CT, two theoretical frequencies are equal to 1. In that case:
chi sqr cannot be used because the prerequisites are not met
Paired t-test can be used
We can use the F-test
84
The likelihood of a certain phenomenon is
0
100%
1
85
whether the price of the bulb and the length of its lighting depend on each other:
Chi-square test
Paired correlation coefficient
ANOVA test
86
The linear dependence of 2 quantities is expressed in the graph by a straight line parallel:
They are linearly independent of each other
They are linearly dependent on each other
Functionally independent of each other
87
Can the determination index be higher than the modified determination index?
Yes
No
88
When alpha testing changes from 5% to 1%, CRITICAL value:
increases
decreases
Do not change
89
The average growth factor shall be calculated as:
harmonic average
arithmetic mean
geometric mean
90
The smoothed time series has:
just a trend part
seasonal and random component
Only a trend and random component
91
The use of a harmonic mean is appropriate if we want to calculate the average velocity
YES
NO
92
Comment the following regression lines: Y = 5x-2 X = 5-0,2y
these cannot be regressively coupled lines
according to the signs of the regression coefficients
these cannot be regressively coupled lines
93
The null hypothesis of correlation analysis is:
Independence of two quantitative variables
Dependence of two quantitative variables
Independence of two qualitative variables
94
I know the correlation coefficient r, what will be the determination coef r2
smaller
can't make it
larger
95
The mean estimate of the mean value is the sampling mean of the sample
YES
NO
96
Pearson's coefficient of contingency at very close dependence of variables reaches 1
No, it can not be 1
Yes
97
If we add another explanatory variable to the model, the determination index may decrease
Yes
No. in such cases it decreases
98
What is a determination index?
Ratio of model squares to total squares
The squares of the model and the residual squares
It takes <-1; 1>
99
When modeling trends in Tseries using a regr approach better to use a quadratic fnc than linear
yes
no, Dependence on P-value
100
When analyzing variance, we compare the resulting test criterion with the chi-test quantile
Yes
No. different formulas
101
The correlation coefficient is the ratio of the residual sum of squares in the total sum of sqr
Yes
No
102
How do we reduce the probability of error of type 2 ß?
By reducing the level of significance and increasing the sam
Increase the significance level and reduce the sample
Increase the significance level α and increase the sam size
103
We have a group of rents the average will grow by 1311 CZK how does variation spread and change
Variance does not change, var. span grows
Variance does not change, the range cannot be estimated on
Variance does not change, var. span decreases
104
What does the alternative hypothesis say in variance analysis?
at least one mean value differs from the others
all variances differ
all mean values are different
105
The value of the paired correlation coefficient is within the interval:
<-1; 0>
<-1; 0)
<-1; 1>
106
The correlation coefficient is used to determine the variance analysis of variance
No
Yes
107
The average value of the X series of time series as determined in each month. We calculate
Weighted arithmetic mean
weighted chronological average
simple chronological average
108
Correlation coefficient: r = - 0.8 + graph shown, write what is true
Measurement error - the cor coefficient cannot be negative
Strong direct dependence
Strong indirect dependence
109
We test the hypothesis in the PivTB of dimension (r = 3; s = 4) and test criterion G = - 12,34:
Unable to detect, mistake in the calculations
You cannot decide on a given table size
-
110
P-value 0.03. We reject both the smoothness of significance of 0.01 and 0.05
YES
NO
111
The determination index may be higher than the adjusted index
Yes
No
112
The average of time series when we know the growth factors is:
Harmonic
Geometric
Arithmetic
113
We have measured a standard deviation of 0
it is possible, if all values are the same
is only possible, if the diameter of the equal to 0
it's not possible
114
It is used to assess the weight of people before and after the diet
Paired t test
ANOVA test (F test)
Two-sample t test
115
What is the distribution criterion in the variance analysis?
Chi square split
F distribution
Normal distribution
116
We use the student distribution for confidence intervals:
When we know the overall variance
If we do not know the total variance and we have n> 30
If we do not know total variance and n <30
117
Do we have the relationship (significance level is 95%) where is the error?
Bad Quantities
The square root should be in the denominator only
The numerator must be (0.7). (0.3)
118
The sum of the deviations from the mean is equal
1
each time differently
0
119
When we use a weighted chronological average
instantaneous T series where different R exist btw periods
flow time series
instantaneous time series where there is the same range
120
We have R2 in correlation analysis where dependence is the tightest
R2 = 0.85
ryx = 0.7
ryx = -0.9
121
The difference between the F-test and the t-test is:
partial tests significance of individual VAR in the model
There is no difference
F test - tests the suitability of the model as a whole
122
by increasing reliabty accuracy of intervalEst of mean value of Ndistribut at same selection R:
doesn't change
decreases
increases
123
Outstanding values of the random variable lead to a more accurate diameter
NO
YES
124
The least squares method uses as a criterion:
difference in squares
sum of squares of residues
something else
125
We have a confidence interval of 95% and 90%, then:
The 90% interval is wider than 95%
The 90% interval is narrower than 95%
Unable to determine
126
reg line by equation Y = 100 + 5x what happens to the dependent var Y when x incr by 100 units?
Increased by 100 units
Increased by 500 units
decrease by 500 units
127
If we want to compare the prices of the next two periods, we will use:
Determination index
correlation coefficient
chain index
128
If all y is increased by 2 in the regression line and x does not change, what happens?
nothing changes
the line direction is increased by 2 and the y-axis
intersection does not change
line guidelines won’t change, the y-intersection change by 2
129
What kind of variable is the number of children in the family
Quantitative (continuous)
Ordinal
quantitative (discrete)
130
Systemic components in the time series are trendy and cyclical only.
no. seasonal
yes
131
The significance level of the statistical test hypothesis is:
the probability of accepting a null hypothesis but not
the same as p-value
the P of rejecting H0, which is True
132
We have 4 types of fertilizer and yields per hectare. For comparison of avg earnings, we use:
F a test of variance analysis
t-test on equality of mean values
Parameter t-test
133
Correlation analysis can be used to investigate:
dependence of two quantitative variables
Quantitative variable dependencies on categorical variables
dependence of two categorical variables,
134
If one chain index is known, what can we calculate from it?
Laspeyres index
Year-on-year growth rate
Base index of the previous period
135
When calculating var anal we compare test criterion with F value in tables Fisher-Snedecor
Yes
No
136
If you know the Pasche price index and the Fischer price index, you can find out:
Determination index
Laspeyers quantity index
Laspeyers price index
137
Chi-sqr is on comparison of observed frequencies and theoretical frequencies in each group.
YES
NO
138
25 measurem before and after fertilization. How to determine if size depends on fertilization?
Equality mean test (paired t test)
Test for dispersion inequality
A test of equality of variance
139
The large variability of X values reduces the accuracy of their average estimate
NO
YES
140
When modeling the seasonal component by the regression method into the model:
We put 1 less seasonal artificial var than the n of seasons
1 more seasonal artificial var than the number of seasons
We do not have any seasonal artificial variables
141
Binomial distribution can, in some circumstances, be approximated by the normal distribution
NO
YES
142
From regr model with 4 explanatory variables, two variables were taken as of little importance
determination index in the smaller model cannot be greater
it is not possible to say in general what relation will be
than in the multivariate model
the determination index may increase if omitted variables
143
What applies to the equal test of the mean values of 2 distributions if n1,n2 > 30?
the assumption of normal distribution cannot be violated
std
Selections may not be from a normal distribution because for
large selections, all distributions are close to normal
144
to compare the perf of workers ie the n of products produced per shift in 3 shifts. You will:
a test of conformity of mean values
chi-square test in PivotTable
F test in variance analysis
145
A p-value of 0.045 was measured using the chi-square good-fit test
Neither 5% nor 1%
We reject the H tested at both 5% and 1% significance levels
We do not reject the H at 1%, but at 5% level it does
146
When we have the equation Y = 16 - 0.8 x, it holds that:
The correlation coefficient must be negative
The correlation coefficient must be zero
The correlation coefficient must be positive
147
25 cars tested and the measured consumption before and after the catalyst exchange We will use
Analysis of variance
Independent selection test
paired t-test
148
3 different recordings of the distribution function but one of them is right to determine which
F (0) = 0.1, F (1) = 0.2, F (2) = 0.3
. F (0) = 0, F (1) = 0.6, F (2) = 0.2
F (0) = 0, F (1) = 0.7, F (2) = 1
149
We want to compare avg time from A to B on 3 different routes. If certain conditions are met:
F a test in variance analysis
t-test in correlation analysis
Chi-square test in PivotTable
150
When the "non-significant" F-test comes out for regression, it means that:
cant say
the model is appropriate
we do not accept the model
151
coefficient of selection of conjugate regression lines is always a non-negative number
Yes
No
152
crit value is calc on the basis of sample, while value of the test criterion in quantile tables
NO(VICE VERSA)
YES
153
Is it possible for the symmetrical distribution to be the average different than the median?
It is not possible
It is possible when there is an extremely large value
It is possible when there is an extremely small value
154
Individual indices are divided into:
Simple and comprehensive
Simple, composite and aggregate
Simple and folded
155
A pie chart diagram expresses the size of the angle of each arc:
The average value of the variable
The absolute or relative frequency
Cumulative absolute frequency
156
For the confidence interval for the mean value, the following applies:
The standard deviation does not affect the width
its width depends directly on n
the center of the interval is the sampling average
157
The average growth rate in the time series must always be greater than one.
no, negative growth
yes
158
The variable field of study is the magnitude:
Qualitative
Discrete
Quantitative
159
We know the 99% interval, then 95% will be
the same
wider, it is impossible to calculate how much you can count
narrower, no calculation can be made for how much
160
Temperatures below freezing were measured, variance will be
Unable to determine
Negative
Positive
161
Seasonal factors in the series with constant seasonality are:
equal to zero
equal to one
equal to the seasonality
162
Variance is:
Mean of the squared deviations of individual values xi from
Average absolute deviations from the mean
the sum of quadratic deviations from the mean
163
When t-test (b0 / s (b0)) is used:
Chi-square
Student distribution
Fischer distribution
164
If we add constant to each observation value, the median will not change
YES
NO
165
Probability density is:
Probabilistic distribution of continuous random variable
Probability of distribution distribution
Another name for the distribution function
166
Regression coefficient
the dependency strength between x and y
Dependent / Independent
expresses change in the depen VAR in change of an ind variab
167
We have a 3x3 CT, 9.85 test criterion We can confirm dependency at the 5% level of significance
Yes, using a chi-test of good agreement with 4 DOF
No, using a chi-test with 4 DOF
Yes, using a chi-test of good agreement with 9 DOF
168
Chronological average will be used for:
time series of time duration
Time series of intervals
when measuring the arithmetic mean of the time series
169
Interval estimate accuracy is inversely proportional to the confidence interval width
YES
NO
170
The probability of error 1 is greater than the probability of error 2
NO
YES
171
The coefficient of determination in the regression analysis can be calculated as:
the square root of the correlation coefficient
square root of var. coefficient
the square of the correlation coefficient to the other
172
Battery life is a random variable X, and its 90 per cent quantitum is 210. This means:
90 percent of the batteries last less than 210 hours
10 percent of batteries last less than 210 hours
90 percent of the battery lasts exactly 210 hours
173
The covariance takes on values
<-1,1> is for correlation
positive
from the interval <-1,1>
any real

Statistics theory Flashcards | StudBud

Statistics theory

173 termsStudBud Administration28 plays

VSE

Flashcards173 cardsFPractice quizPHost liveL

Questions 173

Answers

1
For normal distribution, the mean value is zero and variance 1
NO
YES
2
R-side 95% confidence interval estimating the prop of women n=1000,20% of women. Find an error:
The square root should be in the denominator only
The wrong quantitle there is 1-ALFA, NOT 1.96
badly read by the root
3
The test criterion is read in the tables and we have to calculate the VAR from test criterion.
NO
YES
4
Effect size for variance analysis, how we calculate it:
Intergroup / Intragroup
Intergroup sum of squares / total sum of squares
nok
5
We clean the quarterly time series from seasonality:
Weighted arithmetic averages
Simple moving averages
Central smoothing averages
Arithmetic averages
6
In increasing attempts, the binomial distribution approaches the normal
YES
NO
7
The frequencies recorded within a PivotTable are called:
Marginal
Relative
Expected
8
Entered 7 salaries, how many employees receiving a salary that is lower than the median?
2
4
3
9
Hypergeometric distribution is used
the probability distribution of independent phenomena
for a continuous probability variable
for probability distribution of dependent phenomena
10
Multiple regression model of 6 unknowns, 2 excluded, coefficient of determination:
Cannot be determined without calculation
become smaller
become bigger
11
The product of the combined selection regression coefficients bxy and byx is always:
One straight
In the interval <0; 1>
Greater than one
12
If we donot reject the hypot, which is incorrect at the significance level of 0.05, we will:
Third order errors
Second order errors
First-order errors
13
If the line directive is negative, it means that the correlation coefficient is negative.
Yes
No
14
We have a base index of 2010 IB = 1.28 2009 base year,chain index for the same period applies
Is equal to 1, 28
Is less than 1.28
It is greater than 1, 28
15
Chi-square
Two quantitative quantities
Three Quantitative Quantities
Theoretical and actual data
16
What is the value of the opposite phenomenon to A?
0
1-P (A)
P (A) -1
17
In bar chart will indicate the frequency:
you can't read
the height of the column
the width of the column
18
Variance of two negative different numbers is
0
negative
positive
19
30 values, average = 15, median = 13.9... 2 units 10 and 36 are missing.
mean = 16 ; median = 14,9
diameter = 15,5 ; median = 13,9
diameter = 15,5 ; median = 14,4
20
he variance analysis is used:
When measuring the quant VAR dependence on qualitative VAR
When measuring qualitativedependence on qualitativevariables
measuring quantitative VAR's dependence on quantitative VAR
21
If, in WAM, we multiply the frequency by a constant, the average is also multiplied by constant
NO
YES
22
If 1 phen. has a P of 0.5 and the other 0.2 and their union is 0.7, then these phenomena are:
Independent
This situation can never happen because
Disjoint
23
Where is the least squares method used?
When assessing the suitability of a model for reg function
When determining regression function parameters
When assessing variance variance in ANOVA assay
24
G in CTable statistics always come out in the interval <-1,1
No (it can not be negative)
Yes
25
The binomial distribution will be used for discrete quantities
NO
YES
26
The CZSO consumer price index is measured and published
once a month
once a week
quarterly
27
If p 0.03 in the var anal, then we reject the H0 at levels of significance of 0.01 and 0.05.
Yes
No. P-value is higher – no reject
28
Wage median for woman = 20, male wage median = 20, total median of 20?
NO
YES
29
What is not diverted extreme values of the basic file:
median
the arithmetic average
the standard deviation
30
The graph the frequency distribution of a continuous variable?
Bar graph
Histogram
The pie chart
31
When we dont have a StDev of the base, we can not apply the standard deviation of the sample
YES
NO
32
The regression parabola is a linear function from the parameter viewpoint
Yes
No
33
The Chi square test has a number of degrees of freedom equal to the number of groups
NO( -1)
YES
34
The variance is always greater than the standard deviation
NO
YES
35
Scattering analysis can be understood as testing the variance matching hypothesis?
N0 (no hypothesis)
Yes
36
For CTables, we will use:
F-test
Student's t-test
Chi-square
37
The correlation coefficient is calculated as:
The variance and product of standard deviations
Proportion of covariance and product of standard deviations
The square of the determination coefficient
38
What does the strength of test 1-β mean when testing hypotheses?
Error 2 type, P not rej incorrect hypothesis if H1 applies
Type I error (= PP rejection of correct hypothesis)
the probability of rejecting an incorrect null hypothesis
39
What is the relative increment when the growth factor = 0.85
15%
0.15
-0.15
40
Scattering analysis is used to test the dependence of two categorical variables?
Yes
No. One qualitative, one quantitate
41
The standard deviation may be negative
NO
YES
42
What we test in variance analysis
Equality of variance
Equality of mean values
Equality of standard deviations
43
Reliability of the estimate is denoted as 1-alpha
NO
YES
44
The error of the point estimate lies in
has the smallest variance
The mean value is the same as the estimated parameter
has the smallest mean value
45
If we add a constant, mean, standard deviation and variance will not change
NO
YES
46
The least squares method can be used directly to estimate parameters for non-linear regression
Yes
No, Used for estimating parameters of pop regression fnct
47
It is possible to make the symmetrical distribution does not match the median?
Is it possible, if they occur to large values.
It's not possible.
It is possible, but only if they occur in too small values.
48
Regression analysis expresses dependence
Two qualitative variables
Quantitative variables on qualitative variables
Two quantitative variables
49
The standard deviation of the random variables can be 0
YES
NO
50
Average weight of the cookies is 500 g and median of 575 g. What is the individual weight?
Median separates the 57.5 % lower weight of biscuits
More biscuits weighs less than the diameter of the
cde
More of the biscuits weighs more than the average.
51
If we add more variables to the model, coefficient of determination:
becomes larger
no changes
become smaller
52
Seasonal variables are only available at quarterly intervals, not monthly or yearly
no
yes
53
What is R ^ 2 for?
to assess the significance of each parameter
compare quality of models with the same number of parameters
compare quality of models with different num of parameters
54
The median can describe the location of the statistics file better than average, if:
Has a greater result than the average
There are several small values in the file
There are rare extremes in the data set
55
For the use of the chi-sqr we assume sufficiently large observed frequency values in each class
No
Yes
56
10% of the standard normal distribution is
0
positive
1
negative
57
Chi-square test of compliance checks the equality of values in individual groups
YES
verifies correspondence btw theoretical and empirical values
NO
58
Only one of the following probability functions is correct for 1,2,3.
P (1) = 0.2; P (2) = 0.4, P (3) = 0.5
P (1) = 0.2; P (2) = 0.4, P (3) = 0.4
P (1) = 0.1; P (2) = 0.4, P (3) = 0.4
59
If we reject Ho: μo = μ1 by a 2s test, then in one of the 1s tes at the same lvl of s we reject
Only in some cases
Always
Impossible
60
How can I convert the instant monthly time series to a quarterly?
Add 3 consecutive monthly values
Add 4 consecutive monthly values
Take each 3rd value from the monthly CR
61
Distribuční function F(х) can acquire values of:
0<F (x)<1
0≤F(x)≤1
-1<F (x)<1
62
Mode
It is 50% quantum - median
It is 25% quantum
It is not among the quanta
63
We estimate the reliability of the estimate:
1-alpha
1 - beta
Beta
64
The test criterion for var anal is constructed as the ratio of the intergroup and total squares
Yes
NO
65
We have sales for February and March for A and B in the sales chain. We will use:
Value index
Paashe's volume index
Some composite index
66
The inflation rate is
Relative price level increase
Price level increase expressed in absolute terms
Relative consumer price index
67
Let’s find confIN on n = 50 values. If we increase the range and now is n = 150, we get:
You can not decide to change the confidence interval width
A wider confidence interval
A lower confidence interval
68
Consumer basket represents
CPI weighting system, prices for all products
Homogeneous product groups whose prices are collected regul
population representative and weighting system
69
When we reject the H0 hypothesis when alpha is 0.1
0.12
-0.02
0.08 if the value is a p-value
70
When you swap rows to columns in PivotTables, this does not affect the result
No
Yes
71
In the pos Tseries value of 1 of the grCoef is 0.85 Then value of the corr rel increment not%
negative, from interval (-1,0)
positive, from interval (0,1)
Negative, less than -1
72
If I reject the null hypothesis on the level of significance, then it is
Second order error
First kind error
2222
73
How many limits and which are reported for one-sided confidence intervals?
1-upper or lower
2-upper and lower
1-only upper
74
avg value of the T series should always be calc as the simple arit mean of their indiv values
yes
no, there are different types
75
Using regression it is possible to measure the dependence of two quantitative variables
No
Yes
76
The critical value is:
A subset of alternative hypothesis values
A subset of the hypothesis tested
A subset of the test criterion values
77
50% of the quantity can not equal 75% of the quotient of the same values
YES
NO
78
If we multiply the weights in the weighted mean by a constant, the average will not change.
YES
NO
79
Sliding averages allow to smooth out the time series and indicate its trend
no
yes
80
The test criterion used in variance analysis is:
with a valid H0, the student has a t-distribution
with a valid H0 has a chi-square distribution
Depending on the number of classes
81
What are the test criteria for an F-test when there are 4 comp and 5 bulbs are examined
3a16
5a20
4a18
82
Is the correlation coefficient used to assess the dependence in variance analysis?
Yes
No
83
When testing a dependency in a CT, two theoretical frequencies are equal to 1. In that case:
chi sqr cannot be used because the prerequisites are not met
Paired t-test can be used
We can use the F-test
84
The likelihood of a certain phenomenon is
0
100%
1
85
whether the price of the bulb and the length of its lighting depend on each other:
Chi-square test
Paired correlation coefficient
ANOVA test
86
The linear dependence of 2 quantities is expressed in the graph by a straight line parallel:
They are linearly independent of each other
They are linearly dependent on each other
Functionally independent of each other
87
Can the determination index be higher than the modified determination index?
Yes
No
88
When alpha testing changes from 5% to 1%, CRITICAL value:
increases
decreases
Do not change
89
The average growth factor shall be calculated as:
harmonic average
arithmetic mean
geometric mean
90
The smoothed time series has:
just a trend part
seasonal and random component
Only a trend and random component
91
The use of a harmonic mean is appropriate if we want to calculate the average velocity
YES
NO
92
Comment the following regression lines: Y = 5x-2 X = 5-0,2y
these cannot be regressively coupled lines
according to the signs of the regression coefficients
these cannot be regressively coupled lines
93
The null hypothesis of correlation analysis is:
Independence of two quantitative variables
Dependence of two quantitative variables
Independence of two qualitative variables
94
I know the correlation coefficient r, what will be the determination coef r2
smaller
can't make it
larger
95
The mean estimate of the mean value is the sampling mean of the sample
YES
NO
96
Pearson's coefficient of contingency at very close dependence of variables reaches 1
No, it can not be 1
Yes
97
If we add another explanatory variable to the model, the determination index may decrease
Yes
No. in such cases it decreases
98
What is a determination index?
Ratio of model squares to total squares
The squares of the model and the residual squares
It takes <-1; 1>
99
When modeling trends in Tseries using a regr approach better to use a quadratic fnc than linear
yes
no, Dependence on P-value
100
When analyzing variance, we compare the resulting test criterion with the chi-test quantile
Yes
No. different formulas
101
The correlation coefficient is the ratio of the residual sum of squares in the total sum of sqr
Yes
No
102
How do we reduce the probability of error of type 2 ß?
By reducing the level of significance and increasing the sam
Increase the significance level and reduce the sample
Increase the significance level α and increase the sam size
103
We have a group of rents the average will grow by 1311 CZK how does variation spread and change
Variance does not change, var. span grows
Variance does not change, the range cannot be estimated on
Variance does not change, var. span decreases
104
What does the alternative hypothesis say in variance analysis?
at least one mean value differs from the others
all variances differ
all mean values are different
105
The value of the paired correlation coefficient is within the interval:
<-1; 0>
<-1; 0)
<-1; 1>
106
The correlation coefficient is used to determine the variance analysis of variance
No
Yes
107
The average value of the X series of time series as determined in each month. We calculate
Weighted arithmetic mean
weighted chronological average
simple chronological average
108
Correlation coefficient: r = - 0.8 + graph shown, write what is true
Measurement error - the cor coefficient cannot be negative
Strong direct dependence
Strong indirect dependence
109
We test the hypothesis in the PivTB of dimension (r = 3; s = 4) and test criterion G = - 12,34:
Unable to detect, mistake in the calculations
You cannot decide on a given table size
-
110
P-value 0.03. We reject both the smoothness of significance of 0.01 and 0.05
YES
NO
111
The determination index may be higher than the adjusted index
Yes
No
112
The average of time series when we know the growth factors is:
Harmonic
Geometric
Arithmetic
113
We have measured a standard deviation of 0
it is possible, if all values are the same
is only possible, if the diameter of the equal to 0
it's not possible
114
It is used to assess the weight of people before and after the diet
Paired t test
ANOVA test (F test)
Two-sample t test
115
What is the distribution criterion in the variance analysis?
Chi square split
F distribution
Normal distribution
116
We use the student distribution for confidence intervals:
When we know the overall variance
If we do not know the total variance and we have n> 30
If we do not know total variance and n <30
117
Do we have the relationship (significance level is 95%) where is the error?
Bad Quantities
The square root should be in the denominator only
The numerator must be (0.7). (0.3)
118
The sum of the deviations from the mean is equal
1
each time differently
0
119
When we use a weighted chronological average
instantaneous T series where different R exist btw periods
flow time series
instantaneous time series where there is the same range
120
We have R2 in correlation analysis where dependence is the tightest
R2 = 0.85
ryx = 0.7
ryx = -0.9
121
The difference between the F-test and the t-test is:
partial tests significance of individual VAR in the model
There is no difference
F test - tests the suitability of the model as a whole
122
by increasing reliabty accuracy of intervalEst of mean value of Ndistribut at same selection R:
doesn't change
decreases
increases
123
Outstanding values of the random variable lead to a more accurate diameter
NO
YES
124
The least squares method uses as a criterion:
difference in squares
sum of squares of residues
something else
125
We have a confidence interval of 95% and 90%, then:
The 90% interval is wider than 95%
The 90% interval is narrower than 95%
Unable to determine
126
reg line by equation Y = 100 + 5x what happens to the dependent var Y when x incr by 100 units?
Increased by 100 units
Increased by 500 units
decrease by 500 units
127
If we want to compare the prices of the next two periods, we will use:
Determination index
correlation coefficient
chain index
128
If all y is increased by 2 in the regression line and x does not change, what happens?
nothing changes
the line direction is increased by 2 and the y-axis
intersection does not change
line guidelines won’t change, the y-intersection change by 2
129
What kind of variable is the number of children in the family
Quantitative (continuous)
Ordinal
quantitative (discrete)
130
Systemic components in the time series are trendy and cyclical only.
no. seasonal
yes
131
The significance level of the statistical test hypothesis is:
the probability of accepting a null hypothesis but not
the same as p-value
the P of rejecting H0, which is True
132
We have 4 types of fertilizer and yields per hectare. For comparison of avg earnings, we use:
F a test of variance analysis
t-test on equality of mean values
Parameter t-test
133
Correlation analysis can be used to investigate:
dependence of two quantitative variables
Quantitative variable dependencies on categorical variables
dependence of two categorical variables,
134
If one chain index is known, what can we calculate from it?
Laspeyres index
Year-on-year growth rate
Base index of the previous period
135
When calculating var anal we compare test criterion with F value in tables Fisher-Snedecor
Yes
No
136
If you know the Pasche price index and the Fischer price index, you can find out:
Determination index
Laspeyers quantity index
Laspeyers price index
137
Chi-sqr is on comparison of observed frequencies and theoretical frequencies in each group.
YES
NO
138
25 measurem before and after fertilization. How to determine if size depends on fertilization?
Equality mean test (paired t test)
Test for dispersion inequality
A test of equality of variance
139
The large variability of X values reduces the accuracy of their average estimate
NO
YES
140
When modeling the seasonal component by the regression method into the model:
We put 1 less seasonal artificial var than the n of seasons
1 more seasonal artificial var than the number of seasons
We do not have any seasonal artificial variables
141
Binomial distribution can, in some circumstances, be approximated by the normal distribution
NO
YES
142
From regr model with 4 explanatory variables, two variables were taken as of little importance
determination index in the smaller model cannot be greater
it is not possible to say in general what relation will be
than in the multivariate model
the determination index may increase if omitted variables
143
What applies to the equal test of the mean values of 2 distributions if n1,n2 > 30?
the assumption of normal distribution cannot be violated
std
Selections may not be from a normal distribution because for
large selections, all distributions are close to normal
144
to compare the perf of workers ie the n of products produced per shift in 3 shifts. You will:
a test of conformity of mean values
chi-square test in PivotTable
F test in variance analysis
145
A p-value of 0.045 was measured using the chi-square good-fit test
Neither 5% nor 1%
We reject the H tested at both 5% and 1% significance levels
We do not reject the H at 1%, but at 5% level it does
146
When we have the equation Y = 16 - 0.8 x, it holds that:
The correlation coefficient must be negative
The correlation coefficient must be zero
The correlation coefficient must be positive
147
25 cars tested and the measured consumption before and after the catalyst exchange We will use
Analysis of variance
Independent selection test
paired t-test
148
3 different recordings of the distribution function but one of them is right to determine which
F (0) = 0.1, F (1) = 0.2, F (2) = 0.3
. F (0) = 0, F (1) = 0.6, F (2) = 0.2
F (0) = 0, F (1) = 0.7, F (2) = 1
149
We want to compare avg time from A to B on 3 different routes. If certain conditions are met:
F a test in variance analysis
t-test in correlation analysis
Chi-square test in PivotTable
150
When the "non-significant" F-test comes out for regression, it means that:
cant say
the model is appropriate
we do not accept the model
151
coefficient of selection of conjugate regression lines is always a non-negative number
Yes
No
152
crit value is calc on the basis of sample, while value of the test criterion in quantile tables
NO(VICE VERSA)
YES
153
Is it possible for the symmetrical distribution to be the average different than the median?
It is not possible
It is possible when there is an extremely large value
It is possible when there is an extremely small value
154
Individual indices are divided into:
Simple and comprehensive
Simple, composite and aggregate
Simple and folded
155
A pie chart diagram expresses the size of the angle of each arc:
The average value of the variable
The absolute or relative frequency
Cumulative absolute frequency
156
For the confidence interval for the mean value, the following applies:
The standard deviation does not affect the width
its width depends directly on n
the center of the interval is the sampling average
157
The average growth rate in the time series must always be greater than one.
no, negative growth
yes
158
The variable field of study is the magnitude:
Qualitative
Discrete
Quantitative
159
We know the 99% interval, then 95% will be
the same
wider, it is impossible to calculate how much you can count
narrower, no calculation can be made for how much
160
Temperatures below freezing were measured, variance will be
Unable to determine
Negative
Positive
161
Seasonal factors in the series with constant seasonality are:
equal to zero
equal to one
equal to the seasonality
162
Variance is:
Mean of the squared deviations of individual values xi from
Average absolute deviations from the mean
the sum of quadratic deviations from the mean
163
When t-test (b0 / s (b0)) is used:
Chi-square
Student distribution
Fischer distribution
164
If we add constant to each observation value, the median will not change
YES
NO
165
Probability density is:
Probabilistic distribution of continuous random variable
Probability of distribution distribution
Another name for the distribution function
166
Regression coefficient
the dependency strength between x and y
Dependent / Independent
expresses change in the depen VAR in change of an ind variab
167
We have a 3x3 CT, 9.85 test criterion We can confirm dependency at the 5% level of significance
Yes, using a chi-test of good agreement with 4 DOF
No, using a chi-test with 4 DOF
Yes, using a chi-test of good agreement with 9 DOF
168
Chronological average will be used for:
time series of time duration
Time series of intervals
when measuring the arithmetic mean of the time series
169
Interval estimate accuracy is inversely proportional to the confidence interval width
YES
NO
170
The probability of error 1 is greater than the probability of error 2
NO
YES
171
The coefficient of determination in the regression analysis can be calculated as:
the square root of the correlation coefficient
square root of var. coefficient
the square of the correlation coefficient to the other
172
Battery life is a random variable X, and its 90 per cent quantitum is 210. This means:
90 percent of the batteries last less than 210 hours
10 percent of batteries last less than 210 hours
90 percent of the battery lasts exactly 210 hours
173
The covariance takes on values
<-1,1> is for correlation
positive
from the interval <-1,1>
any real