Statistics Assignement Research

Statistics Assignement Research


The purpose of this assignment is to practice calculating and interpreting the Pearson correlation coefficient and a chi-square test of independence.

For this assignment, complete Problems 13.132 and 15.88 in the textbook. Include your process for conducting the calculations. You can complete the calculations by hand or using Excel or SPSS. If you use Excel or SPSS, copy and paste your output results into a Word document.

When addressing each textbook problem, provide a response for each of the six steps of hypothesis testing listed below.

  1. Pick a test.
  2. Check the assumptions.
  3. List the hypotheses.
  4. Set the decision rule.
  5. Calculate the test statistic.
  6. Interpret the results. (What was done? What was found? What does it mean? What suggestions exist for future research?)

Submit a Word document with your problem answers to each of the six steps. If Excel or SPSS was used to complete the assignment, submit the second Word document containing the screenshots to the instructor.

13.132 A sociologist wanted to see if there was a relationship between a family’s educational status and the eliteness of the college that their oldest child attended. She measured educational status by counting how many years of education beyond high school the parents had received. In addition, she measured the eliteness of the school by its yearly tuition, in thousands (e.g., 5 = $5,000). She obtained a random sample of 10 families.

Families 1 2 3 4 5 6 7 8 9 10

Years post-

HS education 0 7 8 8 4 5 12 17 8 2

Yearly tuition 12 26 3318 20 7 15 38 41 5

15.88 A political scientist developed a theory that after an election, supporters of the losing candi-date removed the bumper stickers from their cars faster than did supporters of the winning candidate. The day before a presidential election, he randomly selected parking lots, and at each selected parking lot, he randomly selected one car with a bumper sticker and recorded which candidate it supported. The day after the election, he followed the same procedure with a new sample of randomly selected parking lots. For both days, he then classified the bumper stickers as supporting the winning or losing candidate. Below are the results. Use hypothesis testing to see if a difference exists between how winners and losers behave.