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

| Jan 3, 2024

Location:

Hybrid

| New Westminster

Liza Minnelli: "Smoking is one of the leading causes of statistics.

Instructor Contact Information

Email: ONLY from within BLACKBOARD. I will not respond to emails to jacksonj@douglascollege.ca

Email Availability: I will be available between Tuesday and Thursday (9 am to 5 pm) on BLACKBOARD mail, etc. If you have questions, please plan to ask them around these times. I will not answer emails sent to jacksonj@douglascollege.ca.

In Person Office Hours: None.

Online Office hours: Wednesdays 11:00 am to 1:00 pm on Zoom. Go to the Zoom link here or in Blackboard.

Classroom: N/A

Email Requirements: See the "Rules" video here.

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

NOT 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. These are not required texts. You do not need the text to be fully prepared for all test questions you may get.

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/tests**. The syllabus and course calender indicate the weeks on which there will be a quiz. All quizzes will be completed ONLINE. 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 60 minutes to complete the Online quizzes. The final quiz has 30 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.

Week 1
- Jan 8 - Welcome to the Course

Lecture 1: Click the link here.

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

Chapter 2 (2.1, 2.2, 2.3).

Topics: Introduction to the course, how to do well, the rules, statistical notation, types of variables.

IN PERSON

Week 2
- Jan 15 - Week 2 Heads-Up

Lecture 2: Click the link here.

Chapter 3 (3.2, 3.3, 3.4, 3.5, 3.6). Chapter 4 (4.3 ONLY).

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

Topics: Frequency distributions, histograms, shape, location, spread.

IN PERSON

Week 3
- Jan 22 - Week 3 Heads-Up

Lecture 3: Click the link here.

Chapter 14 (14.1 - 14.3 ONLY).

Topics: Spread continued, conditional distributions, covariance, correlation.

IN PERSON

Week 4- Jan 29 - Week 4 Heads-Up

Quiz 1: Chapters 1, 2, 3, 4 & 14; Lectures 1, 2 & 3. Open on Blackboard during class time. Go to the "Assessments" tab in the main menu in Blackboard.

You have 60 minutes to complete the quiz. There are 25 MC and 2 SA questions. SA questions must be written in advance.

ONLINE

Week 5
- Feb 5 - Week 5 Heads-Up

Lecture 4: Click the link here.

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

Topics: Standard scores.

Week 6
- Feb 12 - Week 6 Heads-Up

Lecture 5: Click the link here.

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

Chapter 6 (ALL).

Topics: Probability, probability functions, probability density functions, theoretical vs empirical distributions, the Normal distribution.

IN PERSON

Week 7
- Feb 26 - Week 7 Heads-Up

Quiz 2: Chapters 5 & 6; Lectures 4 & 5. Open on Blackboard during class time. Go to the "Assessments" tab in the main menu in Blackboard.

You have 60 minutes to complete the quiz. There are 25 MC and 2 SA questions. SA questions must be written in advance.

ONLINE

Week 8
- Mar 4 - Week 8 Heads-Up

Lecture 6: Click the link here.

Chapter 7 (7.1, 7.2, 7.3, 7.4).

Topics: Populations, samples, the sampling problem, sampling distributions, standard error, sampling distribution of the mean, standard error of the mean, the central limit theorem.

Week 9
- Mar 11- Week 9 Heads-Up

Lecture 7: Click the link here.

Chapter 8 (8.1).

Topics: Hypothesis testing, decision rules, the p-value, alpha, beta, power.

IN PERSON

Week 10
- Mar 18 - Week 10/11 heads-Up

Quiz 3: Chapters 7 & 8.1; Lectures 6 & 7. Open on Blackboard during class time. Go to the "Assessments" tab in the main menu in Blackboard.

ONLINE

Week 11
- Mar 25 - Week 11/12 Heads-Up

Lecture 8: Click the link here.

Chapter 8 (8.4, 8.5, 8.6).

Topics: A closer look at hypothesis testing, effect of sample and effect size on power, beta and alpha, problems with hypothesis testing, test statistics.

Week 12
- April 8 - Week 12/13 Heads-Up

Lecture 9: Click the link here.

Chapter 9 (All).

Chapter 10 (All).

Topics: The one sample t, the two sample t, Cohen's d, One way ANOVA, eta squared.

IN PERSON

Week 13
- April 15

Quiz 4: Chapters 8, 9 & 10; Lectures 8 & 9. Open on Blackboard during class time. Go to the "Assessments" tab in the main menu in Blackboard.

There are 30 MC and 3 SA questions. SA questions must be written in advance and uploaded in PDF format.

ONLINE

Test Policy

ONLY MEDICALextensions are accepted for quizzes. Supporting medical documentation must be provided for a missed quiz within 4 calendar days of the date of the quiz. There are NO accommodations for ONGOING PSYCHOLOGICAL STATES AND CONDITIONS. Seek accommodations for these conditions from accessibility services.

No make-up assignments will be given at the end of the semester for any reason. Only individual tests are eligible for extensions and/or medical accomodations.IMPORTANT:

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. AI software will be used on all tests to identify similarity of response patterns to MC and SA answers.

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.

THE RULES

The rules of the course are given in this video.You are responsible for knowing and following the rules. There will be no exceptions.