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Dr Jackson Home     Resources     Contact      Learning Objectives      Survey
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Welcome to an introduction to statistics. This course deals with basic concepts in descriptive statistics, distribution theory and hypothesis testing. You will also learn how to develop, administer and analyze the data from a simple survey using MS Excel.

Jeremy Jackson

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The Course Syllabus......
Jeremy Jackson
|     Jan 3, 2019
NW 3431
|     New Westminster
Liza Minnelli: "Smoking is one of the leading causes of statistics.
Instructor Contact Information

Email: metrixconsulting@shaw.ca or jacksonj@douglascollege.ca.

Email Availability: I will be available between Tuesday and Thursday (9 am to 5 pm) for questions, email, etc. If you have questions, please plan to ask them around these times. I do not answer emails sent on weekends.

Office hours: Tuesday 2:30-4:00 and Wednesday 11:30-12:30.

Office number: NW 3431.

Classroom: NW 3408

Email Requirements: All emails should include: 1) Your name, student number and the number of the course you are enrolled in, 2) A salutation such as "Hello Dr Jackson....", 3) An appropriate ending to the email thanking the person for their time in considering your request.

Here is a web page about how to write professional emails to a professor: http://www.wikihow.com/Email-a-Professor.

Required Text Information

Essentials of Statistics for the Behavioral Sciences. Gravetter, F. J., Wallnau, L. B. (2011). Tenth Edition. Wadsworth. The 9th or 8th edition are also sufficient if you can find a good second-hand copy.

Math Proficiency

Grade 9 math proficiency is required for this course. Here is a short test of the kinds of things you will need to be able to do. If you find this difficult, work through the basic math skills in Appendix A at the back of your text.

How Does The Course Work

Throughout the course there will be 4 multiple choice and SA quizzes. The syllabus and course calender indicate the weeks on which there will be a quiz. Each quiz will be completed in person. Quiz 1 has 25 multiple choice questions and 2 SA questions, quiz 2 has 25 multiple choice questions and 2 SA questions, and quiz 3 has 25 multiple choice questions and 2 SA questions. Students will have the full class time to complete the quiz. The final quiz has 25 multiple choice questions and 3 SA questions. Quiz 1 is worth 20% of the final course grade, quiz 2 is worth 25%, quiz 3 is worth 25% , and the final quiz is worth 30%.

Each quiz  contains at least 2 SA  questions. I will select the SA questions from the "Learning Objectives" document. There is a link to this document in the menu at the top of this page. PREPARE YOUR ANSWERS TO THESE QUESTIONS AHEAD OF TIME. You may bring in to the quizzes a single 8.5"x11" piece of paper with anything you like written on it.

Throughout the course there are videos that I have made to replace or enhance basic, technical textbook material. These videos should help you prepare cue cards for the purpose of committing basic definitions and symbolism to memory. All of the critical definitions in the course are covered in these videos. It is not necessary or advisable to search youtube, Google, wikipedia, etc for additional material. All you will need to do very well on the definitional and symbolic material in this course is contained in these videos.

Week 2

Tuesday Jan 8th: What is statistics? Descriptive statistics vs Inferential statistics. Inferential statistics sampling exercise (populations and samples).

Chapter 1 (1.1, 1.2, 1.4). Note: Do not read text material on constructs and operational definitions or scales of measurement.

Thursday Jan 10th: Statistical notation. Types of variables. Frequency distributions, histograms. Shape - modality, skew, kurtosis.

Chapter 2 (2.1, 2.2, 2.3). Videos: Summation Notation, Frequency distribution

Week 3

Tuesday Jan 15th: Measures of central tendency - mean, median, mode. Effects of changing values and distribution shape on the mean, median and mode.

Chapter 3 (3.2, 3.3, 3.4, 3.5, 3.6). Chapter 4 (4.3 ONLY). Videos: Central tendency, The mean, The median

Thursday May 17th: Measure of variability - AAD, SD, Variance.

Chapter 4 (4.2, 4.3). DO NOT READ 4.4, 4.5 or 4.6. Videos: Variability, Deviation score, The AAD, The standard deviation


Week 4

Tuesday Jan 22nd: Quiz 1 review.

Thursday Jan 24th: Quiz 1: Thursday Jan 24th. Chapters 1, 2, 3, 4.2, 4.3.


Week 5

Tuesday Jan 29th: Standard scores - z-scores, T-scores, IQ scores, SAT scores.

Chapter 5 (5.1, 5.2, 5.3, 5.4). Note: Do not read 5.5 & 5.6. Videos: Standard scores

Thursday Jan 31st: Correlation, covariance, scatter plots, Pearson r, coefficient of determination, regression.

Chapter 14 (14.1 - 14.3 ONLY). Videos: Pearson r, The regression line

Week 6

Tuesday Feb 5th: Probability basics, frequency vs probability distributions, coin flipping, population bag, models, empirical vs theoretical distributions, probability distributions vs probability density functions.

Chapter 5 (5.1, 5.2, 5.3, 5.4). Note: Do not read 5.5 & 5.6. Videos: Theoretical distributions, Probability distributions, Probability density functions

Thursday Feb 7th: Models. Normal distribution, Uniform distribution. Finding areas in probability distributions. Areas as probabilities.

Chapter 6 (ALL). Videos: The Normal distribution

Week 7

Tuesday Feb 11th: Samples, populations. Inferential statistics. Sampling distributions.

Chapter 7 (7.1, 7.2). Videos: Sampling distributions.

Thursday Feb 13th: Sampling distribution of the sample mean. The standard error of the mean.

Chapter 7 (7.3, 7.4). Videos: The sampling distribution of the mean, The standard error of the mean


Week 8: Spring Break
Week 9

Tuesday Feb 26th: Quiz 2 review.

Thursday Feb 28th: Quiz 2 - Thursday Feb 28th. Chapters 5, 6, and 7, 14.1-14.3.

Week 10

Tuesday March 5th: Logic of hypothesis testing, z-test, critical regions, P-value.

Chapter 8 (8.1). Videos: Hypothesis testing

Thursday March 7th: Logic of hypothesis testing, z-test, critical regions, P-value, errors.

Chapter 8 (8.2, 8.3, 8.4, 8.5). Videos: P-value, Critical value and observed result


Week 11

Tuesday March 12th: The logic of hypothesis testing continued.

Chapter 8 (8.4, 8.5, 8.6). Videos: Alpha, Beta, Power

Thursday March 14th: Alpha, Beta and Power. Effect size. Cohen's d.

Chapter 8 (8.4, 8.5, 8.6). Videos: Logic of hypothesis testing, The coin flip...logical problem


Week 12

Tuesday March 19th: Review.

Thursday March 21st: Quiz 3 - Thursday March 21st. Chapter 8.


Week 13

Tuesday March 26th: t-test for a single sample mean, t distribution.

Chapter 9 (All). Videos: t-distribution, shape of z vs t

Thursday March 28th: t-test for independent sample means. Estimation (confidence intervals).

Chapter 10 (All). Videos: test statistics

Week 14

Tuesday April 2nd: ANOVA. The F-distribution. Within groups variability vs between groups variability, Eta squared.

Chapter 12 (All).

Thursday April 4th: Flex Block


Final Exam


Test Policy

All tests are to be completed in class. ONLY MEDICAL extensions are accepted for quizzes. Supporting medical documentation must be provided for a missed quiz.

Academic Dishonesty - Plagiarism & Cheating

Cheating , which includes plagiarism, occurs where a student or group of students uses or attempts to use unauthorized aids, assistance, materials or methods. Cheating is a serious educational offense.

Plagiarism occurs where the student represents the work of another person as his or her own. Douglas College condemns all forms of cheating.

The college will discipline students found to be cheating. Discipline may include:

1. a grade of zero may be awarded for the affected assignment, test, paper, analysis, etc.;

2. a failing grade may be assigned in the affected course;

3. referral to the College President for the assignment of discipline, which may include suspension from the college.

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