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Chapter 6 and 7 Flashcards | StudBud
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Chapter 6 and 7
Chapter 6 and 7
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1
The difference between the observed value of the dependent variable and the value predicted is known as a/an
beta
coefficient of determination
remainder
residual
2
A measurable factor that defines a characteristic of a population or system.
overfit
residual
statistics
parameter
3
Regression analysis involving one dependent variable and more than one independent variable is known as _____.
multiple regression
scatter regression
simple regression
linear regression
4
The shape of the t distribution depends on a parameter referred to as:
Sample size
Significance level
Degrees of freedom
Standard deviation
5
A single value used as an estimate of the corresponding population parameter.
point estimate
coefficient
statistic
parameter
6
b_0 gives the intercepts of a regression line.
True
False
7
The hypothesis concluded to be true if the null hypothesis is rejected.
Relative
Alternative
Repeated
Null
8
A company wants to find if they are producing at least 60 shoes an hour to test write the hypothesis tests for this?
H0 u≥60 H1 u<60
H0: u>60 H1 u<60
H0 u≤60 H1 u>60
H0 u=60 H1 u≠60
9
Your model's b_1 coefficient has a confidence interval .1 to .3. You can be confident in your observed effect.
False
True
10
The degree of correlation among independent variables in a regression model.
least squares method
cross-validation
multicollinearity
knot
11
Determine whether the alternative hypothesis is left-tailed(lower), right-tailed(upper), or two-tailed: H0: u≥1 Ha: u<1
Left-tailed
Two-tailed
Right-tailed
There is not enough information to make a determination
12
If one of your independent variables is strongly correlated to another independent variable this known as?
variability
resuallinearity
multicolinearity
colinearity
13
SSR=12 and SST=15 what is the SSE
3
1
-3
.8
14
A soda company wants to find out if they are putting exactly 15 oz of soda in cups. Write the hypothesis tests for this.
H0 u=15 H1 u≠15
H0: u>15 H1 u<15
H0 u≥15 H1 u<15
H0 u≤15 H1 u>15
15
In linear regression, the variable that predicts or explains is known as the _____.
outcome variable
confounding variable
extraneous variable
Independent variable
16
The theoretical basis for using a normal probability distribution is the?
Mishini theorem
Alshani theorem
the central limit theory
the empirical rule
17
A two-tailed test is a hypothesis test in which the rejection region is _____.
only in the lower tail of the sampling distribution
in both tails of the sampling distribution
Only in the upper tail of the sampling distribution
in one tail of the sampling distribution
18
Your study has an r^2 value of .68 this tells you?
.68% of the variation is explained
68% of the variation is explained
68% of the variation is not explained
19
A sample of individuals in a classroom is taken to determine the proportion of sophomores. What type of data is this?
Interval
Categorical data
Continuous
Quantitative mean
20
A likely source of error measuring the height of college students by recruiting from restaurants far from campus.
Instrument error
Practice error
Measurement error
Coverage error
21
What are the degrees of freedom for the following data?
26
24.5
24
25
22
A type 1 error is commited when ___.
a true null hypothesis is rejected
the critical value is greater than the value of the test statistics
a true alternative hypothesis is not accepted
the validity of a claim was rejected
23
Determine whether the alternative hypothesis is left-tailed(lower), right-tailed(upper) or two-tailed: H0: u= 1 Ha: u≠1
Left-tailed
There is not enough information to make a determination
Right-tailed
Two-tailed
24
b_1 gives how much x changes for each 1 unit change in y.
True
False
25
Describes the probability that the observed value would have occurred if the null hypothesis was true.
b_1
p-value
residual
z-score
26
Which of the following is a reason to avoid taking a census?
It can be misleading
It is not usually necessary
It can be impractical
It could be too expensive
All of the above
27
To increase statistical significance from .05 to .01 a researcher would need?
a larger sample
a smaller sample
control the studies power
to reduce the alpha level
28
What is the determination of our study if we are conducting a lower tail test?
Reject the null
Fail to reject the alternative
Accept the alternative
Falil to reject the null
29
The alpha value for a study with a 95% confidence level is?
.95
.2811
.1406
.05
30
An estimate of a parameter that provides an interval believed to contain the value of the parameter is known as the _
parameter level
interval estimate
population estimate
confidence level
31
A simple random sample of 31 observations was taken from a large population. The sample mean equals 5. Five is a _____.
point estimate
standard error
population parameter
population mean
32
The ± value added to and subtracted from a point estimate in order to develop an interval estimate of a parameter.
Alpha level
Standard error
Confidence
Margin of error
33
Nonsampling error occurs when the research objective and the population from which the sample is drawn are not aligned.
Coverage error
Non-response error
Measurment error
34
What is the upper limit of the confidence interval for data with a mean of 40.3 and a margin or error of 2.
42.3
24
32.5
40
35
How many dummy variables do you need for a categorical variable that includes; a, b, c, d, and e?
2.5
4
1
5
36
The value used to estimate the value of a population parameter.
Point estimate
Population proportion
Population mean
37
The range of values over which you have data for a regression model is known as the?
regression region
extrapolation region
experimental region
beta region
38
SST= 10, SSR= 6, SSE= 4 what is the coefficient of determination?
.6
.4
16
.667
39
Determine whether the alternative hypothesis is left-tailed(lower), right-tailed(upper), or two-tailed: H0:u≤ 1 Ha:u>1
Two-tailed
Right-tailed
There is not enough information to make a determination
Left-tailed
40
What is the lower limit of the confidence interval for data with a mean of 34.5 and a margin or error of 2.
32.5
42.3
40
24
41
How much confidence do we have in the strength of our sample?
.992
.996
.950
.990
42
A null and alternative hypothesis for a one proportion z test is H0: p ≥ 0.8, Ha: p < 0.8. This hypothesis test is?
upper-tailed
lower-tailed
incorrectly formed
two-tailed
43
As we gather a larger sample size the t-distribution gets?
farther from the normal distribution
becomes the f distribution
is not effected
closer to the normal distribution
44
A selection procedure that checks every possible combination of independent variables.
forward selection
backward elimination
stepwise selection
best subsets
45
In linear regression, the variable that is being predicted or explained is known as the _____.
Moderating variable
dependent variable
confounding variable
predictor variable
46
SSR=12 and SSE=6 what is the SST
6
18
12
.5
47
A teacher is interested in how many students use a phone in class and finds 15 of 50 are. What is the point estimate?
.2
.4
.3
.25
48
The purpose of statistical inference is to make estimates or draw conclusions about a?
mean of the sample based on the mean of the popluation
sample based on a population
statistics based on information obtained from the population
population based on a sample
49
In interval estimation, as the sample size becomes smaller, the interval estimate _____.
becomes wider
becomes narrower
remains the same
gets closer to 1.96
50
What are the two decisions that you can make from performing a hypothesis test?
Reject the alternative; accept the null
Accept the null; accept the alternative
Make a Type 1 error; Make a Type 2 error
Reject the null; fail to reject the null
51
A variable used to model the effect of categorical IV in a regression model; generally takes only the value zero or one.
coded variable
interaction variable
dummy variable
long variable
52
Making estimates and drawing conclusions about one or more characteristics of a population using sample data
stepwise selection
coefficient of determination
point estimate
statistical inference
53
A selection procedure that starts with all the variables in the model?
best subsets
forward selection
backward elimination
stepwise selection
54
This residual plot indicates?
your residuals indicate seasonality
your residuals indicate increasing variance
your residuals are randomly distributed
your residuals are independent
55
Analysis that develops an equation showing how two or more variables are related.
interval estimation
optimization
simulation
linear regression
56
Prediction of the dependent variable outside of the experimental region is known as extrapolation.
False
True
57
A size n sample is drawn from a finite population N, where all samples of size n have equal selection probability.
This is an example of simple random sampling
This is an example of convenience sampling
This is an example of random sampling
This is an example of stratified random sampling
58
A sample of tires shows the average tread depth was 8.5 mm A 95% confidence interval was 8≤u≤9. What does this mean?
None of these.
There is a 95% probability that the population mean is between 8 and 9 mm.
We are 95% confident that the population mean is between 8 and 9 mm.
95% of the tires were between 8 and 9 mm.
59
Nonsampling error that results when some segments of the population are more or less likely to respond to the survey.
Coverage error
Nonresponse error
Measurment error
None of the abover
60
To answer a hypothesis for a lower tail test, the observed level of significance in our sample is?
.2811
.05
.8594
.1406