The following table shows results from the 2014 General Social Survey on belief in the afterlife, classified by gender. Conduct all steps of a significance test, using α = 0.05, to compare the population proportions of females and males who would respond yes to belief in an afterlife. State the p-value of the observed test-statistic. What conclusion can be made based on the p-value? What type of an error could you be making based on your decision in question f? Find the 95% CI for the difference between the proportion of males and females who believe in the afterlife. Interpret this interval in the context of hypothesis testing.
The following table shows results from the 2014 General Social Survey on belief in the afterlife, classified by gender. Conduct all steps of a significance test, using α = 0.05, to compare the population proportions of females and males who would respond yes to belief in an afterlife. State the p-value of the observed test-statistic. What conclusion can be made based on the p-value? What type of an error could you be making based on your decision in question f? Find the 95% CI for the difference between the proportion of males and females who believe in the afterlife. Interpret this interval in the context of hypothesis testing.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The following table shows results from the 2014 General Social Survey on belief in the afterlife, classified by gender. Conduct all steps of a significance test, using α = 0.05, to compare the population proportions of females and males who would respond yes to belief in an afterlife.
-
State the p-value of the observed test-statistic.
-
What conclusion can be made based on the p-value?
-
What type of an error could you be making based on your decision in question f?
-
Find the 95% CI for the difference between the proportion of males and females who believe in the afterlife. Interpret this interval in the context of hypothesis testing.
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