What is the number of rows of the data frame pm2.5_2023_cbd?

We can use the regression results to test the null hypothesis that there is no difference in average weekly earnings between males and females, against the alternative that males earn significantly more than females as follows:

Looking at the p-value of the slope in your regression results, what do you conclude?

What can we say about the comparative means and

standard deviations of average weekly earning between males and females?

What is the sample standard deviation of this series?

(Report to 2 decimal places and include appropriate units)

Create an R object, called wage_f, which holds the CPI adjusted earnings for females. What is the sample average of this series?

(Report to 2 decimal places and include appropriate units)

What is the sample standard deviation of this series?

(Report to 2 decimal places and include appropriate units)

Create an R object, called wage_m, which holds the CPI adjusted earnings for males. What is the sample average of this series?

(Report to 2 decimal places and include appropriate units)

Given our results it seems difficult to reach a strong conclusion about the effectiveness of the training program.

In the preceding exercises we simply compared the employment outcomes of those that did and did not do the program. Which of the ideas below is likely to give us a better guide as to whether the training program worked than this approach? (Multiple answers allowed)

Calculate the average of the Unemployment Tenure variable for those that do and do not attend the training program for both "State A" and "State B". What do you find? (Multiple answers allowed)