Download Quiz Chapters 16 & 17

Statistics PSY302
Quiz
1. What percent of the population scores above a
Z score of –1?
A. 62%
B. 70%
C. 84%
D. 98%
E. 72%
1. What percent of the population scores above a
Z score of –1?
A. 62%
B. 70%
C. 84%
D. 98%
E. 72%
2. Which of the following is a measure of
variability?
A.
B.
C.
D.
E.
spread
mean
kurtosis
Standard deviation
skewness
2. Which of the following is a measure of
variability?
A.
B.
C.
D.
E.
spread
mean
kurtosis
Standard deviation
skewness
3. Which of the following is an example of a
parameter?
A.
B.
C.
D.
E.
mean
margin of error
P-value
pi
Table A
3. Which of the following is an example of a
parameter?
A.
B.
C.
D.
E.
mean
margin of error
P-value
pi
Table A
4. The results of large samples are ______ the
results of small samples.
A.
B.
C.
D.
E.
more variable than
the same as
less variable than
all of the above
none of the above
4. The results of large samples are ______ the
results of small samples.
A.
B.
C.
D.
E.
more variable than
the same as
less variable than
all of the above
none of the above
5. In a distribution with a mean of 40 and a
standard deviation of 10 what values would
encompass approximately 95% of the scores?
A.
B.
C.
D.
E.
35-45
20-60
30-50
40-95
all of the above
5. In a distribution with a mean of 40 and a
standard deviation of 10 what values would
encompass approximately 95% of the scores?
A.
B.
C.
D.
E.
35-45
20-60
30-50
40-95
all of the above
6. A z-score tells:
A. the likelihood of getting a value as high as the
test statistic by chance.
B. the standard deviation of the distribution
C. the square root of the distribution
D. on standard deviation less than the mean
E. How many standard deviations from the mean a
score lies
6. A z-score tells:
A. the likelihood of getting a value as high as the
test statistic by chance.
B. the standard deviation of the distribution
C. the square root of the distribution
D. on standard deviation less than the mean
E. How many standard deviations from the
mean a score lies
7. The alpha value for your paper will be:
A.
B.
C.
D.
E.
100
.05
.50
.10
Depends on the
variance
7. The alpha value for your paper will be:
A.
B.
C.
D.
E.
100
.05
.50
.10
Depends on the
variance
8. If we reject Ho when in fact Ho is true
this is called:
1. a Type I error
2. Statistical significance
3. Failing to reject the null hypothesis
4. Inferential statistics
5. Homogeneity of variance
8. If we reject Ho when in fact Ho is true
this is called:
1. a Type I error
2. Statistical
significance
3. Failing to reject the
null hypothesis
4. Inferential statistics
5. Homogeneity of
variance
9. A study comparing students who live in South
Carolina with those who live in Maine on school
attendance would be a _____ design.
A. Single Sample
B. Matched Pairs
C. Independent
Samples
9. A study comparing students who live in South
Carolina with those who live in Maine on school
attendance would be a _____ design.
A. Single Sample
B. Matched Pairs
C. Independent
Samples
10. A study comparing students scores on the final
to their scores on the mid-term would be a ____
design.
A. Single Sample
B. Matched Pairs
C. Independent
Samples
10. A study comparing students scores on the final
to their scores on the mid-term would be a ____
design.
A. Single Sample
B. Matched Pairs
C. Independent
Samples