To check: Whether the claim that the proportion of men who work 40 hours per week is the same as the proportion of men who work more than 40 hours per week is reject or not.

Question

Want to see the full answer?

Answer 1

Question

Chapter 8.4, Problem 19E

To determine

To check: Whether the claim that the proportion of men who work 40 hours per week is the same as the proportion of men who work more than 40 hours per week is reject or not.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Students have asked these similar questions

4. The t statistic, the t distribution, and sample size The average age at which adolescent girls reach their adult height is 16 years. Suppose you have a sample of 25 adolescent girls who are developmentally delayed, and who have an average age at which they reached their adult height of 17.2 years and a sample variance of 32.5 years. You want to test the hypothesis that adolescent girls who are developmentally delayed have a different age at which they reached their adult height than all adolescent girls. Calculate the t statistic. To do this, you first need to calculate the estimated standard error. The estimated standard error is sMM=1.1402 . The t statistic is1.05 . Now suppose you have a larger sample size n = 95. Calculate the estimated standard error and the t statistic for this sample with the same sample average and the same standard deviation as above, but with the larger sample size. The new estimated standard error is . The new t statistic is .…

Miss America winners from the 1920's and 1930's had a average BMI of 19.4. A sample of recent winners had reported BMIs of 18.7, 18.7, 18.5, 19.2, 19.3, 18.7, 18.6, 19.8, 19, 19.6, and 19 . Do recent winners appear to be significantly different from those in the 1920s and 1930s? (assume normality). Show all the steps of a hypothesis.

A health officer is trying to study the malaria situation of Zambia. From the records of seasonal blood survey (SBS) results he came to understand that the proportion of people having malaria in Zambia was 3.8% in 2015. The size of the sample considered was 15,000. He also realized that during the year that followed (2016), blood samples were taken from 10,000 randomly selected persons. The result of the 2016 seasonal blood survey showed that 200 persons were positive for malaria. Help the Health officer in testing the hypothesis that the malaria situation of 2016 did not show any significant difference from that of 2015 (take the 5% level of significance).