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**

The Course Syllabus......

Instructor

Jeremy Jackson

| May 7, 2018

Location:

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 2:30-3:30 and Wednesday 11:30-12:30.

Office number: NW 3431.

Classroom: NW 6105

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). Ninth Edition. Wadsworth. The 8th or 7th 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 exam has 40 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 exam 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 10 practice quizzes on Blackboard. Students may complete practice quizzes at their leisure. There are no grades given for completing practice quizzes. Practice quizes are for practice only.

Week 1
- May 7th

Monday May 7th: 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.

Wednesday May 9th: Statistical notation. Types of variables. Frequency distributions, histograms. Shape - modality, skew, kurtosis.

Chapter 2 (2.1, 2.2, 2.3).

Week 2
- May 14th

Monday May 14th: 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). Note: Do not read 3.1. Chapter 4 (4.3 ONLY)..

Wednesday May 16th: Measure of variability - AAD, SD, Variance.

Chapter 4 (4.2, 4.3). DO NOT READ 4.4, 4.5 or 4.6.

Week 3
- May 21st

Monday May 21st: Victoria Day. No class.

Wednesday May 23rd: Correlation, measures of covariability, Pearson r, coefficient of determination, regression.

Chapter 14 (14.1 - 14.3 ONLY).

Week 4
- May 28th

Monday May 28th: Quiz 1 review.

Wednesday May 30th: Quiz 1: Wednesday May 30th. Chapters 1, 2, 3, and 14.1-14.3.

Week 5
- June 4th

Monday June 4th: 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.

Wednesday June 6th: Probability basics. Models. Normal distributions, Uniform distribution. Probability distributions vs probability density functions. Finding areas in probability distributions. Areas as probabilities.

Chapter 6 (ALL).

Week 6
- June 11th

Monday June 11th: Samples, populations. Inferential statistics. Sampling distributions.

Chapter 7 (7.1, 7.2).

Wednesday June 13th: Sampling distribution of the sample mean. The standard error.

Chapter 7 (7.3, 7.4).

Week 7
- June 18th

Monday June 18th: Quiz 2 review.

Wednesday June 20th: Quiz 2 - Wednesday June 20th. Chapters 5, 6, and 7.

Week 8
- June 25th

Monday June 25th: Logic of hypothesis testing, z-test, critical regions, P-value.

Chapter 8 (8.1).

Wednesday June 27th: Logic of hypothesis testing, z-test, critical regions, P-value.

Chapter 8 (8.2, 8.3, 8.4, 8.5).

Week 9
- July 2nd

Monday July 2nd: Canada Day, no class.

Chapter 8 (8.4, 8.5, 8.6).

Wednesday July 4th: Alpha, Beta and power. Effect size. Cohen's d.

Chapter 8 (8.4, 8.5, 8.6).

Week 10
- July 9th

Monday July 9th: Review.

Wednesday July 11th: Quiz 3 - Wednesday July 11th. Chapters 8 & 9.

Week 11
- July 16th.

Monday July 16th: t-test for a single sample mean, t distribution.

Chapter 9 (All).

Wednesday July 18th: t-test for independent sample means. Estimation (confidence intervals).

Chapter 10 (All).

Week 12
- July 23rd

Monday July 23rd: ANOVA. The F-distribution. Within groups variability vs between groups variability.

Chapter 12 (All).

Wednesday July 25th: Eta squared. Graphing. Hypothesis testing vs estimation vs data analysis vs modelling.

None.

Week 13
- July 30th

Monday July 30th: Course debrief - what was this all about?

Wednesday August 1st: Final exam review

Week 14
- August 6th

Monday August 6th: BC day. No class.

Wednesday August 8th: Flex block.

Test Policy

All tests are to be completed in class.

ONLY MEDICALextensions 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.

Plagiarismoccurs 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.