EXQ_EX.2.2008Summer

# EXQ_EX.2.2008Summer - MAT 167 Statistics Final Exam...

This preview shows pages 1–3. Sign up to view the full content.

MAT 167: Statistics Final Exam Instructor: Anthony Tanbakuchi Summer 2008 Name: Computer / Seat Number: No books, notes, or friends. Show your work. You may use the attached equation sheet, R, and a calculator. No other materials. Show your work in the space provided. If you choose to use R, write what you typed on the test or copy and paste your work into a word document labeling the question number it corresponds to. When you are done with the test print out the document and turn it in with the test. Be sure to save often on a memory stick just in case. Using any other program or having any other documents open on the computer will constitute cheating. You have until the end of class to finish the exam, manage your time wisely. If something is unclear quietly come up and ask me. If the question is legitimate I will inform the whole class. Express all final answers to 3 significant digits. Probabilities should be given as a decimal number unless a percent is requested. Circle final answers, ambiguous or multiple answers will not be accepted. Show steps where appropriate. The exam consists of 16 questions for a total of 80 points on 9 pages. This Exam is being given under the guidelines of our institution’s Code of Academic Ethics . You are expected to respect those guidelines. Points Earned: out of 80 total points Exam Score:

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
MAT 167: Statistics, Final Exam p. 1 of 9 1. The following is a partial list of statistical methods that we have discussed: 1. mean 2. median 3. mode 4. standard deviation 5. z-score 6. percentile 7. coefficient of variation 8. scatter plot 9. histogram 10. pareto chart 11. box plot 12. normal-quantile plot 13. confidence interval for a mean 14. confidence interval for difference in means 15. confidence interval for a proportion 16. confidence interval for difference in pro- portions 17. one sample mean test 18. two independent sample mean test 19. one sample proportion test 20. two sample proportion test 21. test of homogeneity 22. test of independence 23. linear correlation coefficient & test 24. regression 25. 1-way ANOVA For each situation below, which method is most applicable? If it’s a hypothesis test, also state what the null and alternative hypothesis are . If it’s a graphical method, also describe what you would be looking for . If it’s a statistic, how susceptible to outliers is it? (a) (2 points) A researcher at the department of labor wants to determine if the proportion of men who work in sociology, psychology, and anthropology is the same from recent study data on the subject. (b) (2 points) A math department committee wants to award \$50 to the student who received the best score on their calculus final exam this past semester. However, the three faculty who taught calculus last semester gave different final exams. What method could help identify the top student amongst the three different exams?
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern