1. Quantitative Methods PSY302 Quiz 6 Confidence Intervals

2. 1. We can’t assume that the sample mean will equal the population mean because of _____. (104)
skewness
outliers in the data
sampling error
confirmation bias
anhedonia

3. 1. We can’t assume that the sample mean will equal the population mean because of _____. (104)
skewness
outliers in the data
sampling error
confirmation bias
anhedonia

4. 2. What is a confidence interval for the mean
2. What is a confidence interval for the mean? It is a(n) _________within which the true mean of the population is believed to exist. (105)
standard deviation
non random sample
research design or meta-analysis
frequency distribution
range of values

5. 2. What is a confidence interval for the mean
2. What is a confidence interval for the mean? It is a(n) _________within which the true mean of the population is believed to exist. (105)
standard deviation
non random sample
research design or meta-analysis
frequency distribution
range of values

6. 3. A ____ is a point along the baseline of the normal curve that is expressed in standard deviation units. (107)
distribution of critical values
Z value
confidence interval
categorical variable
sum of squares

7. 3. A ____ is a point along the baseline of the normal curve that is expressed in standard deviation units. (107)
distribution of critical values
Z value
confidence interval
categorical variable
sum of squares

8. 4. To calculate a confidence interval we need to:(106)
add something to the mean
subtract something from the mean
know the true value of the parameter
a & b
all of the above

9. 4. To calculate a confidence interval we need to:(106)
add something to the mean
subtract something from the mean
know the true value of the parameter
a & b
all of the above

10. 5. In a distribution with a mean of 40 and a standard deviation of 5 what values would encompass approximately 95% of the scores?
35-45
30-50
25-55
40-95
all of the above

11. 5. In a distribution with a mean of 40 and a standard deviation of 5 what values would encompass approximately 95% of the scores?
35-45
30-50
25-55
40-95
all of the above

12. 6. We use the symbol ____ to represent the sample size. (111)μ b σ n s

13. 6. We use the symbol ____ to represent the sample size. (111)μ b σ n s

14. 7. As n increases the standard error: (111)
remains the same
increases
decreases
doubles
turns to zero

15. 7. As n increases the standard error: (111)
remains the same
increases
decreases
doubles
turns to zero

16. 8. When you divided the standard deviation of the population by the square root of n (the sample size) you have the:
standard error
mean
correlation coefficient
confidence interval
sum of squares

17. 8. When you divided the standard deviation of the population by the square root of n (the sample size) you have the:
standard error
mean
correlation coefficient
confidence interval
sum of squares

18. 9. A 95% confidence interval is constructed so that it will capture the true mean of the population: (115)
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.

19. 9. A 95% confidence interval is constructed so that it will capture the true mean of the population: (115)
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.

20. 10. When calculating a confidence interval and the standard deviation of the population is unknown you have to:
guess
calculate the sum of squares
estimate the value of the population standard deviation.
sacrifice a gray squirrel to the gods
change your data to categorical variables and use chi square

21. 10. When calculating a confidence interval and the standard deviation of the population is unknown you have to:
guess
calculate the sum of squares
estimate the value of the population standard deviation.
sacrifice a gray squirrel to the gods
change your data to categorical variables and use chi square

22. Bonus Question: We have two ways of dealing with sampling error one of them is:
A frequency distribution
A correlation coefficient
A hypothesis test
A random number generator
All of the above

23. Bonus Question: We have two ways of dealing with sampling error one of them is:
A frequency distribution
A correlation coefficient
A hypothesis test
A random number generator
All of the above

24. Bonus question number two
Bonus question number two. We have two ways of dealing with sampling error: hypothesis test and:
Z scores
Confidence intervals
Multiple regression
Scatter plots
Histograms and density curves

25. Bonus question number two
Bonus question number two. We have two ways of dealing with sampling error: hypothesis test and:
Z scores
Confidence intervals
Multiple regression
Scatter plots
Histograms and density curves

26. The End

27. c b d a