The General Social Survey (GSS) collects data on demographics, eduction and work, among many other characteristics of US residents. Suppose we want to estimate the difference between the average number of hours worked by all Americans with a college degree and those without a college degree. Is there sufficient evidence that there is a significant difference between the average number of hours worked by those Americans with a college degree vs. those Americans without a college degree? Use the following output: Welch Two Sample t-test data: yes and no t = 3.1181, df = 1098.5, p-value = 0.001867 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval
The General Social Survey (GSS) collects data on demographics, eduction and work, among many other characteristics of US residents. Suppose we want to estimate the difference between the average number of hours worked by all Americans with a college degree and those without a college degree. Is there sufficient evidence that there is a significant difference between the average number of hours worked by those Americans with a college degree vs. those Americans without a college degree? Use the following output:
Welch Two Sample t-test
data: yes and no
t = 3.1181, df = 1098.5, p-value = 0.001867
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
1.011652 4.445822
sample estimates:
42.81574 40.08701
Using the provided output, find the 95% confidence interval for the difference of the average amount of hours worked for those that have a college degree vs. those that do not have a college degree (ie: for the difference of two means).
A. 1.01, 4.45
B. 3.1181, 1098.5
C. 42.82, 40.09
D. -0.68, 0.68
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