Which of the following is incorrect?

test of independence determines how well observed freq match expected freq

we learned about 2 things with LEVELS this semester:

Test of Independence, Multinominal Logistic Regression

Which of the following in NOT true about margin of error

Margin of error is the power to reject the null when the null is false

The Beta coefficient is

Original data that is converted into z scores to standardized coefficient

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BIOSTATS FINAL

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Questions 92

Answers

1
-0.8 has less degree of strength than 0.8
False
True
2
When a distribution is skewed to the left the mean is LEFT of the median
False
True
3
type of linear regression with one continuous DV and more than one continuous or categorical IV
Multivariate
Multinominal
Multiple
Simple
4
Which of the following is incorrect?
test of independence determines how well observed freq match expected freq
existing data can be expected values in goodness of fit test
in x2 expected values are based on the null hypothesis
a x2 value can not be negative
5
Which of the following is a categorical variables
Parametric
Interval
Ratio
Dichotomous
6
A Variable that has two or more categories and can be ordered or ranked
Independent
Dichotomous
Ordinal
Nominal
7
The smaller the Cohen's D, the larger the effect on the intervention
False
True
8
Odd Ratio is which type of Regression
Logistic
Linear
9
A harvard professor compares final exam scores in his class to Stanford stats class. What type of T Test is appropriate?
Repeated Measures T test
Dependent T Test
Independent T Test
Matched Pairs T Test
10
Within Groups Variation is NOT
Variation amongst individuals
Error variation
Variation of group means
Residual
11
Within subjects design can be used to test participants many times but not necessarily before and after
False
True
12
A value that is calculated from sample data during a hypothesis test
ANOVA
Point Statistic
T Test
Test Statistic
13
Spearman-Brown formula is used to calculate reliability coefficient
True
False
14
Which of the following is an example of probability sampling
Stratified
Purposive
Convenience
Snowball
15
we learned about 2 things with LEVELS this semester:
Test of Independence
Multivariate Logistic Regression
Multinominal Logistic Regression
Goodness of fit Test
16
Which of the following in NOT true about margin of error
if you decrease your sample size, you increase your margin of error
Margin of error determines confidence interval
Margin of error is the power to reject the null when the null is false
If you increase sample size, you decrease margin of error
17
If running correlates with weight loss, then running also causes weight loss.
False
True
18
Confidence Interval is NOT
Based on the fact that statistical tests possess an error
Accounts for margin of error in test results
Provides a range of two values
A range of values for a sample
19
Statistical power depends on three factors, which of the following is NOT one of those
Significance Criterion
Sample size
Population average
Population effect size
20
Which regression approach tests more than one continuous DV and more than one continuous or categorical IV?
Multiple
Multivariate
Multivariable
Multinominal
21
Predicts binary response from one or more independent variables
Linear
Logistic
22
Population data are parameters
True
False
23
If you have a negative AR²treat it as zero
False
True
24
if α= .05 and we reject H_0,there is a 95% probability that we commit a type 1 error
False
True
25
Differences among group means that cannot be explained by MAIN EFFECT. Main effect is the
Independent variable
Dependent Variable
26
The probability of a type two error is alpha
False
True
27
The Beta coefficient is
None of the above
Original data that is converted into z scores to standardized coefficient
Relationship expressed in terms of original data
Used for prediction
28
Which of the following is a parametric test
Goodness of Fit
Test of Independence
Spearman Correlation
ANOVA
29
Which correlation is non parametric
Pearson Correlation
Correlation Covariance
Spearman Correlation
Continuous correlation
30
Which of the following has the most power to reject
Fischer
Scheffe
Tukey
31
a relationship between two variable
correlation
covariance
32
Inferential statistics is used to reach conclusions that extend beyond immediate data alone
True
False
33
Which of the following is the parameter of interest
μ
μ0
34
R is
Correlation coefficient
Coefficient of determination
a value between 0 and 1.0
logisitic regression
35
Hiding something is worse than reporting something. re: type 1/2 errors
False
True
36
Same participants are tested repeatedly on the same variable in paired t test
False
True
37
The test statistic for ANOVA is
z value
chi square value
f value
t value
38
Which of the following has no upper limit
Poisson Distribution
t Distribution
Binomial Distribution
Bernoulli Distribution
39
a post hoc test is needed for a significant interaction in a two way ANOVA
True
False
40
Relationships are expressed in terms of original data
Beta
Pearson r
slope
z scores
41
Inferential stats is used to reach conclusions that extend beyond immediate data alone
False
True
42
Mean=Median
Unimodal Distribution
Symmetric Distribution
43
The difference between the lowest and highest values
Range
Variability
Interval
Mean
44
Binominal Distribution has only two option: Pass or Fail
True
False
45
Expected Data is NOT
Based on H0
Equally divided, if not known
Existing data
Based on H1
46
In one way ANOVA- within groups variation is called residual
True
False
47
Type 2 error
false negative
beta
alpha
48
Which of the following is NOT as assumption of correlation
Linearity
Homoscedasticity
Normality
Causation
49
type one error is the probability of rejecting the null when the null is true
False
True
50
q value is NOT
Tukey HSD
Fisher LSD
Studentized range statistic
not too conservative, not too liberal
51
Sample variance is the average squared distance from the sample mean
True
False
52
Which of the following distributions have two outcomes with one trial
Bernoulli
Poisson
Binomial
53
Homoscedasticity is that data points are normally distributed
True
False
54
What test should be done when sample size is small and population variance in unknown
ANOVA
t test
post hoc
z test
55
Which of the following in Non Parametric
T test
Pearson r
ANOVA
Spearman Ranked
56
Which variation is in DV is related to changes in IV
Regression Variation
Residual Variation
57
OR >1
i have no clue what OR is
Less likely
no association
More likely
58
When a correlation exists between two variables, regression can predict unknown data
True
False
59
Cronbach's alpha is used to report reliability in surveys
True
False
60
Equal variance of data points
Homoscedasticity
Linearity
Normality
Equality
61
Which of the following is used to test whether a sample differs from a larger population
repeated measures t test
one sample t test
matched pairs t test
all of the above
62
In one way ANOVA- within groups variation is variation of group means
True
False
63
Divide entire population into subgroups
Nonprobability Sampling
Systemic Sampling
Selective Sampling
Stratified Sampling
64
Examples of Skewed Continuous Distribution
Gaussian
chi squared
t distribution
f
65
This type of sampling is selected by referrals
Snowball
Purposive
Stratified
Systemic
66
The sample mean is a mean set of scores in an entire population
False
True
67
Which of the follow CI is not significant
(0.91, 1.25)
(0.85, 0.99)
(1.13, 1.68)
(0.22, 0.44)
68
The odd's ratio is the number of nonevents to the number of events
True
False
69
Independent t test is limited to comparing means of two groups
True
False
70
The population is the entire set of individuals, items or data of interest
False
True
71
Chi Squared works with what kind of variables
Continuous
Parametric
Interval
Categorical
72
A variable that is changed in a scientific experiment
Ordinal Variable
Nominal Variable
Independent variable
Dependent variable
73
Sample Size affects CI by
Larger sample size is less likely to include the true population mean
Smaller sample size yields a narrow CI
Smaller sample size yields a small margin of error
Larger sample size yields a narrow CI
74
Q Value, studentized range statistic is needed where there is no main effect with three or more groups in two way ANOVA
True
False
75
Scales of measurement are characterized by order, difference, and ratio
True
False
76
Researchers perform one sample t test with samples selected from populations which
the population is the same size as the sample
The population size is small
the population variance is unknown
The population variance is known
77
Validity is consistency of measurement
False
True
78
Which of the following is CORRECT
An ordinal variable is a continuous variable
A ratio variable has a clear 0 point
A nominal variable is a continuous variable
The zero point is meaningful in an interval variable
79
The sample is the entire set of individuals, items, or data of interest
True
False
80
Unstandardized coefficient
beta
original data converted to z-scores
used for prediction
Logistic Regression
81
OR=1
Runners are more likely to be normal weight than non runners
There is no difference between the weight of runners and non runners
Runners are less likely to be normal weight than non runners
82
A single score that summarizes the center of a distribution
Mean
Probability
Central Tendency
Central Limit Theorem
83
Which of the following are an examples of a dependent t test (select all that apply)
One sample t test
Within subject design
Repeated Measures T Test
Matched pairs t test
84
α = slope
False
True
85
Divide population by picking interval number (every 5 participants get picked)
Stratified Sampling
Selective Sampling
Purposive Sampling
Systemic Sampling
86
A dependent variable is a predictor variable
True
False
87
This variable measures the outcome of a study
Predictor variable
Response variable
Explanatory Variable
Independent variable
88
Measure of likeliness that an event will occur
Percentile
Probability
Distribution
Sampling
89
For Meta Analysis the bases for which studies are included or excluded are based on sample size and study design
False
True
90
dF
no number is independent of another
all numbers are independent of each other
# of observations that are dependent
# of observations that are free to vary
91
This is the combined effect of the IV on DV
n2
Parameter
Effect Size
Interaction
92
Examples of Continuous Distribution
Chi Square Distribution
T Distribution
Normal Distribution
Discrete Distribution

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