- Using the table above, please answer the following questions. Thank you!
Page I / Question I
Factual answers
- How many more men than women in the sample were self-employed
- For which occupation is there the largest difference between men and women?
- What is the value of chi-square for the occupation of “Operators, fabricators, and laborers”?
- What is the value of p for the difference between the percentage of men who are “Operators, fabricators, and laborers” and the percentage of women who are “Operators, fabricators, and laborers”?
- Based on your answer to question 4, should the difference be declared to be statistically significant?
- Are all the differences between occupations statistically significant at the same probability level? If yes, at what level?
- Compare the probability level for “High school graduate” with the probability level for “Bachelor’s degree or more.” Which one is more significant? Explain.
- Should the null hypothesis be rejected for the difference in the percentages of men and women for “Craft, precision, production, and repair”? Why? Why not?
- Is the difference for “Some college” statistically significant? Explain the basis for your answer.
- Should the null hypothesis for “Immigrated to the United States” be rejected? Explain the basis for your answer.
Page II/ Question II
Please answer the questions. Minimum 300 words and 2-3 references. The question refer to the article above and to the answers in page I/ Question I.
Are the differences in occupations surprising to you? Explain. And in your opinion, are the
differences between men and women in occupations or in amount of education more
dramatic? Explain.
