Quiz Chapter Six Categorical Data

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Transcript Quiz Chapter Six Categorical Data

Quantitative Methods PSY302
Quiz Chapter Six
Confidence Intervals
1. We calculate the sample mean in order to:
A.
B.
C.
D.
E.
practice with Excel
prove the null hypothesis
create sampling error
decrease confirmation bias
estimate the population mean
1. We calculate the sample mean in order to:
A.
B.
C.
D.
E.
practice with Excel
prove the null hypothesis
create sampling error
decrease confirmation bias
estimate the population mean
2. A range of values
within which the true mean of the population is
believed to exist is called a. (105)
A.
B.
C.
D.
E.
standard deviation
non random sample
research design or meta-analysis
frequency distribution
confidence interval
2. A range of values
within which the true mean of the population is
believed to exist is called a. (105)
A.
B.
C.
D.
E.
standard deviation
non random sample
research design or meta-analysis
frequency distribution
confidence interval
3. The Z score for a 95% confidence interval is:
(107)
A.
B.
C.
D.
E.
2.58
-1.11
1.96
.002
.5
3. The Z score for a 95% confidence interval is:
(107)
A.
B.
C.
D.
E.
2.58
-1.11
1.96
.002
.5
4. In the sampling distribution of means shown
below what is on the X axis?
A.
B.
C.
D.
E.
frequency
raw score
the variance
the mean
all of the above
4. In the sampling distribution of means shown
below what is on the X axis?
A.
B.
C.
D.
E.
frequency
raw score
the variance
the mean
all of the above
5. I have an estimate based on a mean of 50 with
a margin of error of 10. What would be the upper
limit of my confidence interval?
A.
B.
C.
D.
E.
35
60
55
40
50
5. I have an estimate based on a mean of 50 with
a margin of error of 10. What would be the upper
limit of my confidence interval?
A.
B.
C.
D.
E.
35
60
55
40
50
6. For a 95% confidence interval, the formula for
the margin of error is the Z-score (i.e. 1.96) times:
A.
B.
C.
D.
E.
μ
.95
the standard error
sample mean
population mean
6. For a 95% confidence interval, the formula for
the margin of error is the Z-score (i.e. 1.96) times:
A.
B.
C.
D.
E.
μ
.95
the standard error
sample mean
population mean
7. As n increases the standard error: (111)
A.
B.
C.
D.
E.
remains the same
increases
decreases
doubles
turns to zero
7. As n increases the standard error: (111)
A.
B.
C.
D.
E.
remains the same
increases
decreases
doubles
turns to zero
8. When you divided the standard deviation of the
population by the square root of n (the sample
size) you have the:
A.
B.
C.
D.
E.
standard error
mean
correlation coefficient
confidence interval
sum of squares
8. When you divided the standard deviation of the
population by the square root of n (the sample
size) you have the:
A.
B.
C.
D.
E.
standard error
mean
correlation coefficient
confidence interval
sum of squares
9. A 95% confidence interval is constructed so that
it will capture the true mean of the population:
(115)
A.
B.
C.
D.
E.
never
always
99% of the time
95% of the time
On president’s day
The error bars on the figures represent the 95 percent
confidence interval.
9. A 95% confidence interval is constructed so that
it will capture the true mean of the population:
(115)
A.
B.
C.
D.
E.
never
always
99% of the time
95% of the time
On president’s day
The error bars on the figures represent the 95 percent
confidence interval.
10. The X axis of a sampling distribution of the
means shows the:
A. value of the mean
B. Z score
C. the number of standard
errors above or below
the mean
D. all of the above
10. The X axis of a sampling distribution of the
means shows the:
A. value of the mean
B. Z score
C. the number of standard
errors above or below
the mean
D. all of the above
The End
1.
2.
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4.
5.
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9.
10.
e
e
c
d
b
c
c
a
d
d