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Dr Jackson Home     Resources      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 Online Course Syllabus......
Instructor
Jeremy Jackson
|     May 7, 2024
Location:
Online
|     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: At your convenience on Zoom. Email me in Blackboard to book a meeting. My Zoom meeting room is here. NOTE: You MUST have a camera for Zoom meetings.

Classroom: NWN 6105

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 This Online 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 - May 7  - 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.

 

Week 2 - May 13 - 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.

 

Week 3 - May 20 - Week 3 Heads-Up

Lecture 3: Click the link here.

Chapter 14 (14.1 - 14.3 ONLY).

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

Week 4- May 27 - Week 4 Heads-Up

Quiz 1: Chapters 1, 2, 3, 4 & 14; Lectures 1, 2 & 3. Open on Blackboard, Wednesday May 29th, 12:30-7:30 pm. 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.

 

Week 5 - June 3 - 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 - June 10 - 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.

Week 7 - June 17 - Week 7 Heads-Up

Quiz 2: Chapters 5 & 6; Lectures 4 & 5. Open on Blackboard, Wednesday June 19th, 12:30-7:30 pm. 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.

Week 8 - June 24 - 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 - July 1 - 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.

Week 10 - July 8 - Week 10/11 heads-Up

Quiz 3: Chapters 7 & 8.1; Lectures 6 & 7. Open on Blackboard, Wednesday July 10th, 12:30-7:30 pm. Go to the "Assessments" tab in the main menu in Blackboard.

Week 11 - July 15 - 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 - July 22 - 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.

Week 13 - July 29

Quiz 4: Chapters 8, 9 & 10; Lectures 8 & 9. Open on Blackboard, Wednesday July 31st, 12:30-7:30 pm. 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.

Test Policy

All tests are to be completed ONLINE. ONLY MEDICAL extensions given prior to the assessment are accepted for tests, exercises and assignments. Supporting medical documentation must be provided for a missed test within 4 days of the test. Ongoing psychological states and conditions are not medical. To seek accomodations for these conditions consult student services. Threre are NO MAKEUP ASSIGNMENTS IN THE COURSE.

For students with accommodations at accessibility services, follow the guidance of your representative at accessibility services. There is no need to contact me in advance about any assignment extension or missed tests, I am not permitted to inquire about or know the details I would need to know in order to make a rational, justified decision about test or assignment accommodations. I am also not permitted by College policy to make a unilateral decision about accommodations.

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.

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.

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.
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