quantitative methods psy302 quiz chapter six confidence intervals
DESCRIPTION
Quantitative Methods PSY302 Quiz Chapter Six Confidence Intervals. 1. We calculate the sample mean in order to:. 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:. - PowerPoint PPT PresentationTRANSCRIPT
Quantitative Methods PSY302 Quiz Chapter Six
Confidence Intervals
1. We calculate the sample mean in order to:
A. practice with Excel
B. prove the null hypothesis
C. create sampling error
D. decrease confirmation bias
E. estimate the population mean
1. We calculate the sample mean in order to:
A. practice with Excel
B. prove the null hypothesis
C. create sampling error
D. decrease confirmation bias
E. estimate the population mean
2. A range of valueswithin which the true mean of the population is
believed to exist is called a. (105)
A. standard deviation
B. non random sample
C. research design or meta-analysis
D. frequency distribution
E. confidence interval
2. A range of valueswithin which the true mean of the population is
believed to exist is called a. (105)
A. standard deviation
B. non random sample
C. research design or meta-analysis
D. frequency distribution
E. confidence interval
3. The Z score for a 95% confidence interval is: (107)
A. 2.58
B. -1.11
C. 1.96
D. .002
E. .5
3. The Z score for a 95% confidence interval is: (107)
A. 2.58
B. -1.11
C. 1.96
D. .002
E. .5
4. In the sampling distribution of means shown below what is on the X axis?
A. frequency
B. raw score
C. the variance
D. the mean
E. all of the above
4. In the sampling distribution of means shown below what is on the X axis?
A. frequency
B. raw score
C. the variance
D. the mean
E. 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. 35
B. 60
C. 55
D. 40
E. 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. 35
B. 60
C. 55
D. 40
E. 50
6. For a 95% confidence interval, the formula for the margin of error is the Z-score (i.e. 1.96) times:
A. μ
B. .95
C. the standard error
D. sample mean
E. 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. μ
B. .95
C. the standard error
D. sample mean
E. population mean
7. As n increases the standard error: (111)
A. remains the same
B. increases
C. decreases
D. doubles
E. turns to zero
7. As n increases the standard error: (111)
A. remains the same
B. increases
C. decreases
D. doubles
E. 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. standard error
B. mean
C. correlation coefficient
D. confidence interval
E. 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. standard error
B. mean
C. correlation coefficient
D. confidence interval
E. sum of squares
9. A 95% confidence interval is constructed so that it will capture the true mean of the population:
(115)
A. never
B. always
C. 99% of the time
D. 95% of the time
E. 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. never
B. always
C. 99% of the time
D. 95% of the time
E. 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. e2. e3. c4. d5. b6. c7. c8. a9. d10. d