Question 1

a. 
0.9772 
[removed] 
b. 
0.4772 
c. 
0.0228 

d. 
0.0456 
Question 2

a. 
stage 
[removed] 
b. 
comparison 

c. 
factor 
[removed] 
d. 
level 
Question 3

a. 
SS_{between} should be about the same size as SS_{within}. 

b. 
MS_{between} should be about the same size as MS_{within}. 
[removed] 
c. 
SS_{between} should be about the same size as SS_{total}. 
[removed] 
d. 
MS_{between} should be about the same size as MS_{total}. 
Question 4

a. 
a correlation near one 

b. 
a positive correlation 

c. 
a correlation near zero 
[removed] 
d. 
a negative correlation 
Question 5

a. 
This cannot be determined without knowing the sample size. 

b. 
d = 25/100 

c. 
d = 5/100 

d. 
d = 5/10 
Question 6

a. 
6.5 

b. 
8 

c. 
6 

d. 
7 
Question 7
X Y
1 2
2 3
3 10

a. 
Y = 0.25X + 4.5 

b. 
Y = 0.25X – 4.5 

c. 
Y = 4X – 3 
[removed] 
d. 
Y = 4X + 3 
Question 8
[removed] 
a. 
2, 11 

b. 
2, 6 

c. 
2, 9 
[removed] 
d. 
3, 11 
Question 9

a. 
36 

b. 
10 
[removed] 
c. 
16 
[removed] 
d. 
8 
If sample variance is computed by dividing SS by df = n – 1, then the average value of the sample variances from all the possible random samples will be ____ the population variance.

a. 
unrelated to 

b. 
exactly equal to 

c. 
smaller than 
[removed] 
d. 
larger than 
Question 11

a. 
η^{2} 

b. 
α^{2} 

c. 
σ^{2} 

d. 
µ^{2} 
Question 12

a. 
large mean differences and small variances 

b. 
small mean differences and large variances 

c. 
large mean differences and large variances 

d. 
small mean differences and small variances 
Question 13
[removed] 
a. 
a main effect for factor B 
[removed] 
b. 
a main effect for factor A 
[removed] 
c. 
main effects for both A and B, and an interaction 
[removed] 
d. 
an interaction between A and B 
Question 14
Question 15

a. 
z = 2 

b. 
z = 1 

c. 
z = 6 

d. 
z = 12 
Question 16
Question 17

a. 
0.0675 

b. 
0.4325 

c. 
0.5000 

d. 
0.5675 
Question 18

a. 
At least n = 14 

b. 
At least n = 12 

c. 
At least n = 13 
[removed] 
d. 
At least n = 11 
uestion 19

a. 
19 

b. 
18 

c. 
1 
[removed] 
d. 
2 
Question 20
Question 21
Question 22

a. 
M = 42 for a sample of n = 100 

b. 
M = 42 for a sample of n = 4 
[removed] 
c. 
M = 44 for a sample of n = 4 
[removed] 
d. 
M = 44 for a sample of n = 100 
Question 23
[removed] 
a. 
80 

b. 
100 

c. 
5 

d. 
4 
Question 24

a. 
= –21 

b. 
= 6 

c. 
This cannot be determined without additional information. 

d. 
= –2 
Question 25

a. 
t = ±2.602 

b. 
t = ±2.947 

c. 
t = ±2.921 

d. 
t = ±2.583 
Question 26

a. 
The mean is still M = 6. 

b. 
The mean is M = 8. 

c. 
The mean is M=10. 

d. 
The mean is M = 7. 
Question 27
X c%
3034 100%
2529 90%
2024 60%
1519 20%

a. 
X = 29 

b. 
X = 29.5 

c. 
X = 25 

d. 
X = 24.5 
Question 28

a. 
M = 90 and small sample variance 

b. 
M = 85 and small sample variance 

c. 
M = 90 and large sample variance 

d. 
M = 85 and large sample variance 
Question 29
Treatments
Subject I II III Ptotals
A 3 4 5 12 G = 27
B 1 1 4 6 ΣX^{2} = 109
C 2 1 6 9
T = 6 T = 6 T = 15
SS = 2 SS = 6 SS = 2
Question 30
[removed] 
a. 
s^{2} = 10; σ^{2} = 9 
[removed] 
b. 
s^{2} = 9; σ^{2} = 10 
[removed] 
c. 
s^{2} = 9; σ^{2} = 9 
[removed] 
d. 
s^{2} = 10; σ^{2} = 10 
Question 31

a. 
0 

b. 
30 

c. 
greater than 30 

d. 
less than 30 
Question 32

a. 
Around 30% of the scores will be located within one standard deviation of the mean. 

b. 
Around 90% of the scores will be located within one standard deviation of the mean. 

c. 
Around 70% of the scores will be located within one standard deviation of the mean. 

d. 
Around 50% of the scores will be located within one standard deviation of the mean. 
Question 33

a. 
df = 2, 33 

b. 
df = 2, 36 

c. 
df = 2, 35 

d. 
df = 2, 11 
Question 34

a. 
μ = 48 

b. 
μ = 36 

c. 
μ = 40 

d. 
μ = 52 
Question 35

a. 
0.2119 

b. 
0.7881 

c. 
0.5762 

d. 
0.2881 
Question 36
Question 37

a. 
Reject the null hypothesis with either a onetailed or a twotailed test. 

b. 
Fail to reject the null hypothesis with a onetailed test but reject with two tails. 

c. 
Reject the null hypothesis with a onetailed test but fail to reject with two tails. 

d. 
Fail to reject the null hypothesis with either a onetailed or a twotailed test. 
Question 38

a. 
greater than 50 

b. 
equal to 48 

c. 
less than 50 

d. 
between 50 and 52 
Question 39

a. 
sample 

b. 
statistic 

c. 
parameter 

d. 
population 
Question 40

a. 
41 

b. 
–1 

c. 
1 

d. 
17 
Question 41
Question 42

a. 
n_{1} =n_{2} = 20 with a pooled variance of 100 

b. 
n_{1} =n_{2} = 20 with a pooled variance of 10 

c. 
n_{1} =n_{2} = 10 with a pooled variance of 10 

d. 
n_{1} =n_{2} = 10 with a pooled variance of 100 
Question 43

a. 
They are amplified in the denominator of the ratio. 

b. 
They are measured and subtracted out in of the analysis process. 

c. 
They do not exist because the same individuals participate in all of the treatments. 

d. 
They contribute to the variance in the denominator. 
Question 44

a. 
nominal 

b. 
ratio 

c. 
interval or ratio 

d. 
nominal or ordinal 
Question 45

a. 
σ = 2 

b. 
σ = 5 

c. 
σ = 12 

d. 
σ = 3 
Question 46

a. 
σ = 8 

b. 
σ = 4 

c. 
σ = 10 
[removed] 
d. 
σ = 2 
Question 47

a. 
There is a good fit between the sample data (observed values) and the null hypothesis. 

b. 
The sample data (observed values) do not match the null hypothesis. 

c. 
There is a good fit between the sample data (observed values) and the null hypothesis. 

d. 
The observed values from the sample data are consistently smaller than the expected values. 
Question 48

a. 
correlation near one 

b. 
negative correlation 

c. 
correlation near zero 

d. 
positive correlation 
Question 49

a. 
6, 63 

b. 
2, 63 

c. 
4, 63 

d. 
8, 63 
Question 50

a. 
total variability and error 

b. 
between subjects and between treatments 

c. 
between treatments and error 

d. 
between subjects and error 
Question 51
Question 52
X f
2024 2
1519 5
1014 4
59 1
Question 53

a. 
an indication of an Aeffect but no indication of an interaction 

b. 
no indication of an interaction 

c. 
an indication of an Aeffect 

d. 
an indication of an interaction but no indication of an Aeffect 
Question 54

a. 
M = 30 and s = 15 

b. 
M = 35 and s = 15 

c. 
M = 30 and s = 10 

d. 
M = 35 and s = 10 
Question 55

a. 
The correlation is equal to zero. 

b. 
The correlation is significant with either α = .05 or α = .01. 

c. 
The correlation is not significant with either α = .05 or α = .01. 

d. 
The correlation is significant with α = .05 but not with α = .01. 
Question 56

a. 
5 

b. 
85 

c. 
79.5 

d. 
75 
uestion 57

a. 
N = 42/6 = 7 

b. 
N = 6*42 = 252 

c. 
N = 6/42 = 1/7 

d. 
N=42 
Question 58
uestion 59

a. 
the square root of (SS_{residual}/(n – 2)) 

b. 
the square root of (SS_{regression}/(n – 3)) 

c. 
the square root of (SS_{residual}/(n – 3)) 

d. 
the square root of (SS_{regression}/(n – 2)) 
Question 60

a. 
mean 

b. 
median 

c. 
mode 

d. 
weighted mean 
Question 61
Question 62

a. 
large samples and large variance 

b. 
small samples and large variance 

c. 
small samples and small variance 

d. 
large samples and small variance 
Question 63

a. 
Increase the likelihood of rejecting H_{0} and have little or no effect on measures of effect size. 

b. 
Increase the likelihood of rejecting H_{0} and increase measures of effect size. 

c. 
Decrease the likelihood of rejecting H_{0} and have little or no effect on measures of effect size. 

d. 
Increase the likelihood of rejecting H_{0} and decrease measures of effect size. 
Question 64

a. 
X = 43 

b. 
X = 40 

c. 
It cannot be determined with the information given. 

d. 
X = 42 
Question 65

a. 
statistic 

b. 
population 

c. 
parameter 

d. 
sample 
Question 66

a. 
It also increases. 

b. 
The expected value does not change in a predictable manner when sample size increases. 

c. 
It decreases. 

d. 
It stays constant. 

a. 
This cannot be determined without knowing all the X and Y scores. 

b. 
r = 0.40 

c. 
r = 0.80 

d. 
r = 0.20 
Question 68

a. 
both variables produce a change in the subjects’ scores 

b. 
the two variables are differentially affected by a third variable 

c. 
the effect of one independent variable depends on the levels of the second variable 

d. 
both variables are equally influenced by a third factor 
Question 69

a. 
z = 2.00 

b. 
z = 5.00 

c. 
z = 20.00 
z = 1.00 
· What term is used to identify the mean of the distribution of sample means?

a. 
the expected value of M 

b. 
the central limit mean 

c. 
the standard error of M 

d. 
the sample mean 
Question 71

a. 
64 

b. 
16 
[removed] 
c. 
24 
[removed] 
d. 
104 
Question 72

a. 
SS_{residual} = r^{2}(SS_{X}) 

b. 
SS_{residual} = (1 – r^{2})(SS_{X}) 

c. 
SS_{residual} = r^{2}(SS_{Y}) 

d. 
SS_{residual} = (1 – r^{2})(SS_{Y}) 
Question 73
Scores: 1, 1, 1, 1, 3, 6, 6, 6, 9
Question 74

a. 
positively skewed 

b. 
negatively skewed 

c. 
normal 

d. 
symmetrical 
Question 75
Question 76
Question 77

a. 
The beta estimate is significant. 

b. 
There are no differences between any of the population means. 

c. 
All of the population means are different from each other. 

d. 
At least one of the population means is different from another mean. 
Question 78

a. 
They are always whole numbers. 

b. 
They are positive whole numbers. 

c. 
They can contain both positive and negative values. 

d. 
They can contain fractions or decimal values. 
Question 79

a. 
mean is greater than 10 

b. 
standard deviation is greater than 6 

c. 
standard deviation is less than 6 

d. 
standard deviation is smaller than 5 
Question 80

a. 
1.5 

b. 
6 

c. 
1.22 

d. 
2 
Question 81

a. 
z < 2.33 

b. 
z < 2.58 

c. 
z > 2.33 

d. 
z > 2.58 
Question 82

a. 
a correlation near zero 

b. 
a negative correlation 

c. 
a positive correlation 

d. 
a correlation near one 
Question 83
Question 84

a. 
0 

b. 
250 

c. 
125 

d. 
50 
Question 85

a. 
It is similar to a correlation because it uses one sample to evaluate the relationship between two variables. 

b. 
It is similar to both a correlation and an independentmeasures t test because it can be used to evaluate a relationship between variables or a difference between populations. 

c. 
It is similar to an independentmeasures t test because it uses separate samples to evaluate the difference between separate populations. 

d. 
It is similar to a singlesample t test because it uses one sample to test a hypothesis about one population. 
researcher uses an anonymous survey to investigate the study habits of American college students. Based on the set of 56 surveys that were completed and returned, the researcher finds that these students spend an average of 4.1 hours each week working on course material outside of class. For this study, the set of 56 students who returned surveys is an example of a ____.

a. 
parameter 

b. 
population 

c. 
sample 

d. 
statistic 
Question 87

a. 
r^{2} 

b. 
r 

c. 
1 – r 

d. 
1 – r^{2} 
Question 88

a. 
n_{1} + n_{2} – 1 

b. 
n_{1} + n_{2} – 2 

c. 
n – 2 

d. 
n – 1 
Question 89
a. 
60 and 1 

b. 
0 and 1 


c. 
0 and 8 

d. 
60 and 8 (unchanged) 
Question 90
Question 91

a. 
300 
b. 
40 

c. 
50 


d. 
10 
Question 92

a. 
when both X and Y are dichotomous variables 

b. 
in the same circumstances when a repeatedmeasures t test would be used 

c. 
when X consists of regular, numerical scores but Y is dichotomous 

d. 
when both X and Y are measured on an ordinal scale (ranks) 
Question 93
Source SS df MS
Between 20 xx xx F = xx
Within xx xx 2
Total xx xx
Question 94

a. 
0.9332 

b. 
0.3085 

c. 
0.6915 

d. 
0.0668 
Question 95

a. 
4 

b. 
3 

c. 
41 
[removed] 
d. 
2 
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