The data concerning height measurement for a random sample of individuals from a given population are as follows: Mean is equal to 172 S.D. is equal to N is equal to If a large number ofsamples of the same size were selected at random from the given population, what would be the limits within which the true mean almost certainly lies? 12 65

Which of the following is a good point estimator for the population mean? O S O 2 42 S 2 X I.

Suppose that for a test of proportion we have :p=0.5 and . The test statistic z=1.53 and the p-value is reported as P-value = 0.063. Find the error in the reasoning.     This is a right-tailed test so the P-value should be 0.9370.     This is a two-tailed test so the P-value should be 0.126.     The P-value should have been calculated using the studentâ s t-distribution.     There is no error in the reasoning.     None of these.

For questions 6 through 11, refer to the following table, representing responses from the 2018 GSS: Respondent Sex Mean Hours Worked Last Week Standard Deviation N Male 44.60 14.969 670 Female 38.15 13.276 711 6. What proportion of females worked less than 40 hours per week?    a. How many people in the sample does that correspond to?7. What percentage of males worked between 40 and 50 hours per week?    a. How many people in the sample does that correspond to?8. What number of hours worked among females corresponds with a Z score of -2.00?9. Calculate the number of hours worked last week that corresponds to the 95th percentile for each sex.    a. If you were going to calculate the 75th percentile, what Z value would you use? 10. Calculate the standard error for both males and females.    a. What are you using for sigma, and why? 11. Calculate the 95% confidence interval for each sex. Can you say with 95% confidence that they are different? Why or why not?    a. If you were…