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 8, 2017

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 and Thursday 4:30pm-6:00 pm or by appointment.

Office number: NW 3431.

Classroom: NW 4305, Tuesday and Thursday, 2:30-4:20.

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). Eighth Edition. Wadsworth. The 7th edition is 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 question. 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 that complete practice quizzes in the week they are assigned, and score over 6/10 will receive .5% bonus mark per quiz.. Therefore, practice quizzes are worth a 5% bonus in the course. Details will be given in class.

Week 1
- May 8th

Tuesday May 9th: What is statistics? Descriptive statistics vs Inferential statistics. Inferential statistics sampling exercise (populations and samples).

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

Thursday May 11th: Statistical notation. Types of variables. Frequency distributions, histograms. Shape - modality, skew, kurtosis.

Chapter 1 (1.5) and Chapter 2 (2.1, 2.2, 2.3, 2.4). Online practice quiz 1 - see Blackboard.

Week 2
- May 15th

Tuesday May 16th: 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)..

Thursday May 18th: Measure of variability - AAD, SD, Variance.

Online practice quiz 2 - see Blackboard.

Week 3
- May 22nd

Tuesday May 23rd: Measures of co-variability - conditional distributions, covariance, Pearson r.

Chapter 14 (14.1 - 14.3 ONLY).

Thursday May 25th: Flex block...catch-up or new material if on schedule.

Online practice quiz 3 - see Blackboard.

Week 4
- May 29th

Tuesday May 30th: Quiz 1 review.

Thursday June 1st: Quiz 1: Thursday June 1st. Chapters 1, 2, 3, and 14.1-14.3.

Week 5
- June 5th

Tuesday June 6th: 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.

Thursday June 8th: Probability basics. Models. Normal distributions, Uniform distribution. Probability distributions vs probability density functions. Finding areas in probability distributions. Areas as probabilities.

Chapter 6 (6.1, 6.2, 6.3, 6.4). Online practice quiz 5 - see Blackboard.

Week 6
- June 12th

Tuesday June 13th: Samples, populations. Inferential statistics. Sampling distributions.

Chapter 7 (7.1, 7.2).

Thursday June 15th: Sampling distribution of the sample mean. Sampling distribution of the sample variance. The standard error.

Chapter 7 (7.3).

Online practice quiz 6 - see Blackboard

Week 7
- June 19th

Tuesday June 20th: Quiz 2 review.

Thursday June 22nd: Quiz 2 - Thursday June 22nd. Chapters 5, 6, and 7.

Online practice quiz 7 - see Blackboard.

Week 8
- June 26th

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

Chapter 8 (8.1).

Thursday June 29th: Logic of hypothesis testing, z-test, critical regions, P-value.

Chapter 8 (8.2, 8.3, 8.4, 8.5, 8.6).

Online practice quiz 8 - see Blackboard.

Week 9
- July 3rd

Tuesday July 4th: Alpha, Beta and power.

Chapter 8 (8.2, 8.3, 8.4, 8.5, 8.6).

Thursday July 6th: Effect size. Cohen's d.

Chapter 8 (8.2, 8.3, 8.4, 8.5, 8.6).

Online practice quiz 9 - see Blackboard.

Week 10
- July 10th

Tuesday July 11th: t-test for a single sample mean, t distribution. Review.

Chapter 9 (All).

Thursday July 13th: Quiz 3 - Thursday July 13th. Chapters 8 & 9.

Online practice quiz 10 - see Blackboard.

Week 11
- July 17th.
ONLINESee Blackboard for the readings/videos for the week.

Tuesday July 18th: t-test for independent sample means. t-test for dependent samples. Confidence intervals.

Chapter 10 (All)

Thursday July 20th: ANOVA. The F-distribution. Within groups variability vs between groups variability.

Chapter 12.

Week 12
- July 24th

Tuesday July 25th: ANOVA continued. Eta squared.

Chapter 12

Thursday July 27th: Graphing. Hypothesis testing vs estimation vs data analysis vs modelling.

Week 13
- July 31st

Tuesday August 1st: Course debrief - what was this all about?

Thursday August 3rd: Final exam review

Week 14
- August 7th

Tuesday 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.