Math 2260-001

Probability and Statistics

Fall 2009

Updated 2 November 2009

FINAL EXAM: W 16 Dec. 2009, 10 am-11:50 am

PREREQUISITE: Passing Grade in Math 1113

This section of the course requires daily use of technology, including a computer with a fast internet connection as well as a hand-held calculator from one of the TI-89 or TI-83/84 families.

Online Text

Meetings

MWF 10-10:50 am D219

FORMULA SHEET FOR TESTS

Hypothesis Testing

Confidence Interval Questions

Table of Standard Normal Distribution

INSTRUCTOR: Dr. M. Dillon

OFFICE: D231
OFFICE HOURS: MWF 12:50-1:50 pm, M 3:15-4:15 pm, F 1:50-2:50 pm; also by appointment
PHONE: 678 915 4977
EMAIL: mdillon@spsu.edu

TEXTBOOK: This section of Prob/Stat will use an online text available here: http://onlinestatbook.com

You are REQUIRED to learn to navigate the online book. You should also download the text for times when you lose your internet connection

TECHNOLOGY: One of the TI-89 or TI-83 calculators is required for this course. You are required to learn to use the statistical functions on your machine! (See http://mason.gmu.edu/~mmankus/ti89/ti89stat.pdf for the TI-89 or, shorter: http://www.saintmarys.edu/~cpeltier/calcforstat/StatTI-89.html or, for TI-83 http://www.cbu.edu/~wschrein/media/Stat/TI83Pman.pdf ) You must have daily access to a computer, preferably with a fast internet connection and the usual array of plug-ins. In addition, as noted above, you should download the multi-media version of the text to a cd so that you have access to the text when your internet connection goes down.

ATTENDANCE POLICY: Class attendance is required for this course.

STUDENTS WITH DISABILITIES: Students with disabilities who believe that they may need accommodations in this class are encouraged to contact the counselor working with disabilities at (678) 915 7226 as soon as possible to better insure that such accommodations are implemented in a timely fashion.

GRADING: There will be two tests, a project, quizzes, and a comprehensive final exam. Quizzes may or may not be announced ahead of time.

Academic Dishonesty: There is a zero tolerance policy on cheating in this course. This policy includes copying solutions from anybody or anything, obtaining test questions illegally, or calculator usage when such usage is not allowed.

If you cheat on a test or quiz, I will have you removed from the class and you will fail. NO EXCEPTIONS.

RECORDING DEVICES: The use of any and all electronic recording devices during class meetings of this course is expressly forbidden. Electronic recording devices include, but are not limited to, cell phones, tape recorders, and video cameras. Under certain circumstances, students with special needs may request permission of the instructor to record classes. Permission granted under these circumstances will be strictly limited and all details will be in writing.

TESTS: The tests are scheduled for Wednesday, September 30 and Friday, October 30. Each test is worth 100 points.

For tests, you will be able to use THIS FORMULA SHEET.

PROJECT: Each student in the class will be assigned a project, due Friday, December 4. Assignments will be made after the second test. Projects are to be written up using correct grammar and spelling. The work is to be your own. Anything that is not your own is to be cited according to academic standards. The project is worth 100 points.

QUIZZES: You will see at least 12 quizzes (that is, roughly one a week). Each will count 10 points. Only the best 10 quiz grades go towards your course grade. Quizzes are based on homework!

FINAL EXAM: It will be comprehensive. It is worth 200 points.

COURSE GRADE: Your grade in the course will be based on 600 points distributed as follows:

Two tests	200 points
Project	100 points
Quizzes	100 points
Final exam	200 points

To avoid disappointment, count on being graded according to the usual scale, that is, 540-600=A, 480-539=B, 420-479=C, 360-419=D, below 360=F.

WITHDRAW DATE: Tuesday, October 13 is the last day to withdraw with a grade of "W".

Class Sections Topics and Problems

1. Chapter I, A-D Text navigation, intro, descriptive vs. inferential statistics; HW: Ch I, E: Sampling Demo, exercises 1,2,4,5,6

2. Ch. I, F, G Variables, percentiles HW: Exercise 3, 14-17

3. Ch I, H Measurement and basics of data collection

HW: Ch I, H2: measurement demonstration; exercises: 7, 11, 18, 19

4. Ch I, I, J, K Distributions, Linear Transformations, Summation Notation

HW: 8-10, 12, 13

5. Ch II, A,B,C1 Intro, stem-leaf displays

HW: exercises 1,7, 8

6. Ch II, C2,3, 4 Histograms, freq. polygon, Box Plots

HW: learn to make histograms using calculator and online technology; exercises: 2, 4, 12, 19; Boxplot Demo, Ch II, C5; learn to use calculator/online technologies to create box plots; exercises 3, 5, 9, 11

7. Ch II, C6,7; Ch III,A Bar charts and line graphs, Measures of central tendency

HW: 6, 23; Ch III, A3-5, 7simulations; exercises 1,2,4,10,12,13

8. Ch III, B Variability

HW Ch III, B2 Variability Demo; exercises 7, 9, 11

9. Ch III, C, start E Shape, transformations

HW exercises 5,14,16,19

10. Ch III, finish E, F Transformations, Variance Sum Law II

HW exercises 20-23,29,30,31

11. Ch IV A,B Bivariate data: intro, correlation

HW Ch IV, C: guessing demo; exercises 1, 6 7, 15, 20

12. Ch IV D, E, G Properties/computing Pearson’s r; Variance Sum Law II

HW Ch IV F demo; exercises 2, 3, 4, 5, 8, 9, 14, 18, 21

13. CATCH UP

14. REVIEW

15. TEST #1 (WEDNESDAY, SEPT. 30)

16. Ch V A,B Basic probability

HW exercises 1-3, 9, 10, 12, 14, 15,17, 18;

Ch V, C, D, E simulations

17. Ch V F Binomial distribution

HW Ch V G demo, ex 4-7, 11, 13

18. Ch V H Base rates and Bayes Thm

HW Ch V I, J Bayes thm and monty hall demos, exercises 8, 16

19. Ch VI A, B Normal dist: intro, history

HW 3, 13, 18, 21

20. Ch VI C, E Areas, standard normal

HW Ch VI D, varieties demo; ex. 1, 2, 4-9, 11, 14, 15, 17, 19, 20, 22

21. Ch VI F Normal approx to binomial

HW Ch VI G, normal approx demo; ex. 10, 12, 16

22. Ch VII A Sampling dists: Intro, basic properties

HW Ch VII B,C, D demos.; ex. 3, 8, 10, 21

23. Ch VII E Sampling dist of mean HW 1, 2, 4, 7, 11, 16, 17, 19, 22-24

24. Ch VII F Sampling dist of difference of means

HW 5, 13, 25

25. Ch VII, G Sampling dist of Pearson’s r

HW 6, 9, 12, 15, 18

26. Ch VII, H Sampling dist of proportion

HW 14, 20

27. REVIEW

28. TEST #2 (FRIDAY, OCT 28)

29. Ch VIII A-C Intro to estimation, estimators, bias, variability

HW Ch VIII D simulation; exercises: 1,

2, 3, 13, 21

30. Ch VIII E 1-2 Confidence intervals intro., for mean

HW 4, 5, 11, 14, 15, 18

31. Ch VIII E 3 t-distribution HW Ch VIII E 4 conf int simulation; exercises 6, 9, 23

32. Ch VIII E 5 Conf int for difference of means

HW 10, 17, 20, 22, 24, 25

33. Ch VIII E 6 Conf int for Pearson’s r

HW 7, 26

34. Ch VIII E 7 Conf int for proportion

HW 12, 16

35. Ch IX A, B Intro to hypothesis testing

HW 1, 2, 11, 14

36. Ch IX C-D Errors, tails

HW 4, 5, 10, 13, 15, 16-20, 22, 23

37. Ch IX E,F Interpreting results

HW 3, 6, 7, 9, 12, 21, 24, 25

38. Ch IX G Steps in hypothesis testing

39. Ch IX H, I Significance testing and conf ints; misconceptions

HW 8, 27-29

40. Ch XII A Intro lin regression

HW Ch XII B demo; exercises: 1, 2, 3, 10, 11b, 12, 18 (find the line)

41. Ch XIV A Chi square distribution; HW 1, 7

PROJECTS DUE

(FRIDAY, DEC 4)

42. Ch XIV B One-Way Tables

HW 3, 5, 9

43 REVIEW

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