Welcome to the Web Page of ST2500(Section 001), which is being taught in Fall 2009.

TWO REVIEW SESSIONS WILL BE HELD AT FOLLOWING TIMES: (1) Monday, Dec. 7, 9:30-11:30am. ED2018B. (2) Monday, Dec. 14, 11:30am-1:30pm. IIC2001.

THE FINAL EXAM WILL BE HELD ON WED., DEC. 16, NOON-2PM IN PE-2000 (GYM IN PHYS. ED. BUILDING). PHOTO ID REQUIRED.

NO MEDICAL NOTES ARE REQUIRED IF YOU ARE OFF SICK BECAUSE OF THE H1N1 FLU.

Course Syllabus


People, Places, and Times

  • Class times: Tues., Thurs. 3:30-4:45pm (Slot 20). IIC-2001.
  • Instructor: Gary Sneddon
  • Office: HH-3057
  • Phone: 737-8069 or 737-8784 (departmental office).
  • Email address: gsneddon@mun.ca

    • Lab Sessions, Instructors, Assignment Boxes

  • Section 2: Mon. 9:00-10:30 (Sept. 21). Melissa Wheeler. Box 1.
  • Section 3: Mon. 10:30-12:00 (Sept. 21). Melissa Wheeler. Box 1.
  • Section 4: Mon. 3:30-5:00 (Sept. 21). Vineetha Warriyar. Box 2.
  • Section 5: Tues. 1:50-3:20 (Sept. 22). Vineetha Warriyar. Box 2.
  • Section 6: Wed. 9:00-10:30 (Sept. 16). Chithran Vasudevan. Box 3.
  • Section 7: Wed. 10:30-12:00 (Sept. 16). Chithran Vasudevan. Box 3.
  • Section 8: Thurs. 1:50-3:20 (Sept. 17). Vineetha Warriyar. Box 2.
  • Section 9: Fri. 9:00-10:30 (Sept. 18). Hubert Mariathas. Box 4.
  • Section 10: Fri. 10:30-12:00 (Sept. 18). Hubert Mariathas. Box 4.
  • Section 11: Fri. 2:00-3:30 (Sept. 18). Yunqi Ji. Box 5.
  • Section 12: Fri. 3:30-5:00 (Sept. 18). CLOSED.

    • The labs begin on the dates indicated, and are held in CS-1009, which is building #16 on the MUN campus map.

    The box refers to the assignment box where you pass in your assignments. These boxes are located just to the left of the Math and Stats Dept. General Office (HH-3003).

    Lab Handout 1. This handout (or a modification of it) may be used during the first 2 lab sessions.

    04cars.mtw, which is a Minitab data file (a .mtw file).

    04cars.txt, which describes each of the variables in 04cars.mtw.

    Alternate Lab Handout 1. This handout was created by Taslim Mallick last winter, and can be used for the first two lab sessions. It's much better than the lab handout that I created.

    Lab Handout 2. This handout (or a modification of it) may be used during the lab sessions that cover the binomial random variable.

    Alternate Lab Handout 2, 3. This handout was created by Taslim Mallick last winter, and can be used for the lab sessions on the binomial random variable and normal random variable. It's much better than the lab handout that I created.

    Lab Handout 3. This handout (or a modification of it) may be used during the lab sessions that cover the normal random variable.

    steel.mtw, which is a Minitab data file.

    Lab Handout 4. This handout (or a modification of it) may be used during the lab sessions that cover sampling distributions and the Central Limit Theorem.

    Lab Handout 5. This handout (or a modification of it) may be used during the lab sessions that cover confidence intervals.

    pallet.mtw, which is a Minitab data file.

    Alternate Lab Handout 5. This handout was created by Taslim Mallick last winter, and can be used for the lab sessions on confidence intervals and hypothesis testing. It's much better than the lab handout that I created.

    Lab Handout 6. This handout (or a modification of it) may be used during the lab sessions that cover hypothesis testing.

    textbook.mtw, which is a Minitab data file.

    ANNOUNCEMENTS

  • Two (2) copies of the textbook are on reserve in the library. They are available on a strict 2-hour loan period.
    •

    STATISTICS HELP CENTRE: EXAM PERIOD

    The stats help center will operate the following hours during the exam period.

  • DAYS: Tuesday, Wed., Thurs. (Dec. 8,9,10)
  • TIME: 11am-2pm each day
  • LOCATION: HH3017

    • Help provided by Matthew Atkinson.

    The help center will also operate on either Dec. 14 or 15. Hours and location will be announced.

    TERM GRADES

    UPDATED: WEDNESDAY DEC. 16, 10:40am.

    TERM GRADES ARE NOW CORRECT (Yes, I know I said this before!).

    Before you ask questions about your grades, please read the following:

    There was a problem with Assignment #1. The Monday 9am and 10:30am labs had their assignment #1 marked out of 50. Everyone else had their assignment #1 marked out of 35. I have converted all assignment #1 grades to be out of 35. This is the column 'Assign1adj(35)' in the spreadsheet, and is the one used to calculate your term grade. My thanks to those of you who found this mistake.

  • The term grade is out of 50, if you didn't miss any quiz, test or assignment with a valid excuse. The weighting scheme is from the first day handout: each assignment is worth 4%, each quiz is worth 6% and the midterm is worth 20% of your grade. IF YOU MISSED A QUIZ OR ASSIGNMENT, read the next point.

  • The file does indicate the quizzes or assignments that were missed with a valid excuse, and you emailed me about this, and I replied to your email. They are indicated with ILL. For those of you in this category, your term grade is out of something less than 50. For example, if you missed one quiz because of H1N1, your term grade is out of 44.

  • If you have emailed me (which is most important) about a grade that needs to be corrected, or changed to ILL, I have made those corrections. If you only spoke to me, without sending email, then the change probably hasn't been made. I keep terrible paper records :-)

  • IF A QUIZ OR ASSIGNMENT GRADE IS BLANK, IT MEANS YOU'RE GETTING A ZERO ON THAT QUIZ OR ASSIGNMENT. I am not assuming all missed quizzes and assignments are because you were sick. If you were sick, you have to let me know, as stated above.

  • TERM GRADES, listed by student ID.

  • If a grade is incorrect or missing for you, please let me know.

    • UNRETURNED QUIZZES, ASSIGNMENTS, MIDTERMS

    I have all unreturned quizzes and assignments for all lab sections. You can also come by my office to pick up your quizzes or assignments during the office hours that are listed below. I will also bring them to the course review sessions that are mentioned below.

    Due to Memorial's privacy concerns, I am not allowed to leave the unclaimed assignments and quizzes outside of my office.

    COURSE REVIEW SESSIONS

    I (that means conducted by Gary, the guy who taught the course) will hold two (2) review sesions at the following times/locations:
  • Monday, Dec. 7, 9:30-11:30am. ED2018B.
  • Monday, Dec. 14, 11:30am-1:30pm. IIC2001.

    • Cost of admission: free.

    Attendance is optional.

  • EXAMPLES FROM DEC. 7 REVIEW SESSION.

  • EXAMPLES FROM DEC. 14 REVIEW SESSION.

    • FINAL EXAM

    The final exam will be held on WEDNESDAY, DEC. 16, NOON-2PM IN PE-2000 (GYM IN PHYS. ED. BUILDING).

    MAKE SURE TO BRING PHOTO ID (MUN ID, DRIVERS LICENSE, PASSPORT).

    The exam covers the entire course, as stated in the first day handout.

  • EXAM INFORMATION AND COURSE REVIEW.
  • FINAL EXAM FORMULA SHEET. The formula sheet that you will receive with your exam is exactly the same as this one.

    BOOKLET OF OLD EXAMS is available in the math dept. general office for $3. WARNINGS: This booklet has exams that are mostly multiple choice. Your exam will be mostly long answer questions, not multiple choice. Also, many of these exams are from many (many) years ago, when the topics covered were not exactly the same as what we now cover. Therefore, some of the questions are on topics that we didn't cover.

    OLD EXAMS FOR PRACTICE.

    NOTE: These are multiple choice exams, with the correct answers indicated. Although your exam will not be multiple choice, you should be able to do the questions that correspond to topics that we have covered in class.

    ANOTHER OLD EXAM and EXAM SOLUTIONS which is not multiple choice.

    We have covered all the topics on this old exam except for 6(c).

    • OFFICE HOURS DURING EXAM PERIOD

    In addition to the review sessions above, I will be available in my office at the following times:

  • Monday, Dec. 7: 3-4:30pm
  • Tuesday, Dec. 8: 3-4:30pm
  • Wed., Dec. 9: 3-4:30pm
  • Thurs., Dec. 10: 10-11:30am
  • Mon., Dec. 14: 10-11am, 1:30-2pm
  • Tues., Dec. 15: 9:30am-11am, 2-3:30pm
    •

    ASSIGNMENTS

    MINITAB ON ASSIGNMENTS: For the questions that require Minitab, please make sure to pass in the relevant Minitab output (especially graphs) with your assignment.

  • Assignment #1. DUE DATE: THURSDAY, OCT. 1, 5pm.
  • Assignment #1 SOLUTIONS.

  • Assignment #2. DUE DATE: TUESDAY, OCT. 20, 5pm. NOTE: There was a typo in question #2 of the assignment (I gave the wrong page number). This was corrected Oct. 6, 10am.

  • Assignment #2 SOLUTIONS.

  • Assignment #3. DUE DATE: THURSDAY, NOV. 19, 5pm.

    CHANGE TO ASSIGNMENT #3, QUESTION #9-MONDAY, NOV. 9, 12:20pm: Part of this question is phrased poorly, so you don't have to do part of it. See the change on the assignment sheet.

  • Assignment #3 SOLUTIONS.

    • QUIZZES

  • Quiz #1: This quiz was held during the last 45 minutes of labs on OCT. 5, 6, 7, 8, 9.
  • SOLUTIONS: MONDAY QUIZ.
  • SOLUTIONS: TUESDAY QUIZ.
  • SOLUTIONS: WEDNESDAY QUIZ.
  • SOLUTIONS: THURSDAY QUIZ.
  • SOLUTIONS: FRIDAY QUIZ.

  • Quiz #2: This quiz was held during the last 45 minutes of labs on NOV. 2, 3, 4, 5, 6.
  • Quiz #2-TUESDAY LAB: I'm sorry that your quiz didn't happen as scheduled on Nov. 3. Your quiz is rescheduled for your lab on Tuesday, Nov. 10.

  • SOLUTIONS: MONDAY QUIZ.
  • SOLUTIONS: TUESDAY QUIZ.
  • SOLUTIONS: WEDNESDAY QUIZ.
  • SOLUTIONS: THURSDAY QUIZ.
  • SOLUTIONS: FRIDAY QUIZ.

  • Quiz #3: This quiz was held during the last 45 minutes of labs on NOV. 16, 17, 18, 19, 20.

  • SOLUTIONS: MONDAY QUIZ.
  • SOLUTIONS: TUESDAY QUIZ.
  • SOLUTIONS: WEDNESDAY QUIZ.
  • SOLUTIONS: THURSDAY QUIZ.
  • SOLUTIONS: FRIDAY QUIZ.

  • IF YOU MISS A QUIZ BECAUSE YOU ARE SICK: The value of your quiz will be added to your final exam (just like what will happen if you miss the midterm test because of sickness). I'm sorry that isn't stated in the course syllabus.
    •

    MIDTERM TEST

    The midterm test was held in class on THURSDAY, OCT. 22. The tests were returned on Tuesday, Nov. 10 in class.

    Midterm test solutions.

    MIDTERM GRADES, SORTED BY STUDENT ID. This is an Excel file. Doublecheck to make sure the grade I have recorded for you is correct.

    PRACTICE PROBLEMS

  • LIST OF PRACTICE PROBLEMS FROM TEXT. This is complete up to, and including, Section 11-2 of the text.
  • SOLUTIONS TO TEXTBOOK QUESTIONS. These are detailed solutions to all problems in Chapters 1-10 of the text. We haven't covered any of Chapter 10 yet (we will do some starting on Nov. 26), and we've also done Section 11-2. This section is not included in these solutions.

    • LECTURE NOTES

    The (tentative) lecture notes are posted either the evening before, or morning of, class. However, these posted files get modified after class if we cover less material than I anticipated.

    Lecture notes: Sept. 10. Assorted terminology; types of data, variables, data collection and sampling.


    Lecture notes: Sept. 15. Frequency distributions; plotting data; stem-and-leaf plots.


    Lecture notes: Sept. 17. Distribution shapes; mean, median, mode; range, variance, standard deviation.


    Lecture notes: Sept. 22. Chebyshev's Theorem, empirical rule; percentiles; boxplots; probability: definitions, basic rules.


    Lecture notes: Sept. 24. Probability: complement, addition rule, mutually exclusive events.


    Lecture notes: Sept. 29. Independent events, conditional probability, multiplication rules.


    Lecture notes: Oct. 1. Random variables; discrete probability distributions; mean, variance of discrete r.v.'s.


    Lecture notes: Oct. 6. Mean, variance of discrete r.v.'s; binomial random variable: 4 conditions, calculating probabilities.


    Lecture notes: Oct. 8. Binomial random variable: example, mean, variance; normal distribution: properties.


    Lecture notes: Oct. 13: None. No class (fall break).


    Lecture notes (part I): Oct. 15. Lecture notes (part II): Oct. 15. Solutions to examples used in part II. Normal Distribution Table (Tables E-1, E-2 from text). Normal distribution, z-scores: examples.


    Lecture notes: Oct. 20. Assessing normality; sampling distributions and the Central Limit Theorem. Normal Distribution Table (Tables E-1, E-2 from text).


    Lecture notes: Oct. 22: None. Midterm test.


    Lecture notes: Oct. 27. Normal Distribution Table (Tables E-1, E-2 from text). Confidence intervals (CI's): terminology, large sample CI's for population mean.


    Lecture notes: Oct. 29 (Parts I, III). Part II. T Distribution Table (Table F from text). Interpreting CI's; T-distribution; small sample CI for population mean; large sample CI for population proportion.


    Lecture notes: Nov. 3. Solutions to examples. Normal Distribution Table (Tables E-1, E-2 from text). Large sample CI for proportion, finding sample sizes; hypothesis testing: terminology, null and alternative hypothesis.


    Lecture notes: Nov. 5. Solutions to examples. Hypothesis testing: test statistic, drawing conclusions, type I and I errors; z-test for mean; p-values. Normal Distribution Table (Tables E-1, E-2 from text).


    Lecture notes: Nov. 10. Solutions to examples. P-values (cont'd); t-test for mean; large sample test for proportion. T Distribution Table (Table F from text).


    Lecture notes: Nov. 12. Solutions to examples. Large sample test for proportion (cont'd); relationship between confidence intervals and hypothesis testing. Normal Distribution Table (Tables E-1, E-2 from text).


    Lecture notes: Nov. 17. Normal Distribution Table (Tables E-1, E-2 from text). Solutions to examples. Large and small sample tests and CI's to compare 2 means (independent populations). T Distribution Table (Table F from text).


    Lecture notes: Nov. 19. Solutions to examples. Test to compare 2 means-dependent populations; goodness of fit tests. T Distribution Table (Table F from text).


    Lecture notes: Nov. 24. Goodness of fit tests (continued). Solution to EX 11.1. Solution to EX 11.2. Chi-squared Table (Table G from text).


    Lecture notes: Nov. 26. Solutions to examples. Correlation and regression: terminology, scatter plots, correlation coefficient.


    Lecture notes: Dec. 1, 3. Linear regression: equation, line of best fit, estimating slope and intercept, prediction and residuals.


    EXAM INFORMATION AND COURSE REVIEW.


    Gary Sneddon
    Updated December 16, 2009