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Dr Jackson Home     Resources     Contact      Learning Objectives      Weekly Problems      Readiness Test
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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......
Instructor
Jeremy Jackson
|     Jan 4, 2018
Office:
NW 3428
|     New Westminster
Liza Minnelli: "Smoking is one of the leading causes of statistics."
Instructor Contact Information

Email: metrixconsulting@shaw.ca.

Email Availability: I will be available between Monday and Thursday (9 am to 5 pm) for non-substantive questions. If you have substantive questions, please plan to ask them in-person duing class or in my office hours.

Office hours: Thursday 11:30-12:30 pm or by appointment. Here is a link to my calender.

Office number: NW 3431.

Classroom: N 2203, 12:30 - 3:20 Thursday

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. & Forzano, L. B. (2014). Ninth Edition. Cengage. The 8th 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. Ask me for help right away if you struggle with this.

How Does The Course Work

Throughout the course there will be 3 multiple choice and SA tests. The syllabus and course calender indicate the weeks on which there will be a test. Each test 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 the final exam has 40 multiple choice questions and 3 SA questions. Students will have the full class time to complete the tests. Quiz 1 is worth 20% of the final course grade, quiz 2 is worth 25%, quiz 3 is worth 35% .

Each test  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 will not have time during the test to construct your answers well. You may bring in to the tests a single 8.5"x11" piece of paper with anything you like written on it. I recommend you write your SA question answers on this piece of paper.

Throughout the course there are 7 weekly problems for you to answer. See the "Weekly Problems" document HERE. Do the problems as the course goes along...do not wait untill the end of the course to do the problems. Each student will submit a final report containing their answers to the 7 problems. See the end of the "Weekly Problems" document for details about the structure of the report. The report is worth 20% of your final course grade.

Week 1 - Jan 4th

Thursday Jan 4th: Introduction to the course. Study methods. The language of statistics. Why social science students sometimes struggle in statistics (it's not the math). Variables. Population Bags. What is statistics? Descriptive statistics vs Inferential statistics. Statistical notation.

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

Week 2 - Jan 11th

Thursday Jan 11th: Inferential statistics sampling exercise (populations and samples). Types of variables. Frequency distributions, histograms. Shape - modality, skew, kurtosis.

Chapter 2 (2.1, 2.2, 2.3, 2.4).

Week 2 Problem

 

Week 3 - Jan 18th

Thursday Jan 18th: Measures of central tendency - mean, median, mode. Effects of changing values and distribution shape on the mean, median and mode. Measures of variability - AAD, SD, Variance.

Chapter 3 (3.2, 3.3, 3.4, 3.5, 3.6). Note: Do not read 3.1. Chapter 4 (4.2 & 4.3 ONLY).

Week 3 Problem

Week 4 - Jan 25th

Thursday Jan 25th: Measures of co-variability - conditional distributions, covariance, Pearson r.

Quiz 1 review

Chapter 14 (14.1 - 14.3 ONLY).

Week 4 Problem

Week 5 - Feb 1st

Thursday Feb 1st: Quiz 1: Thursday Feb 1st. Chapters 1, 2, 3, 4 and 14.

Week 6 - Feb 8th

Thursday Feb 8th: Standard scores: z-scores, IQ scores. Probability basics. Models. Normal distribution, Uniform distribution. Probability distributions vs probability density functions. Finding areas in probability distributions. Areas as probabilities.

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

Chapter 6 (6.1, 6.2, 6.3, 6.4).

Week 6 Problem

Week 7 - Feb 15th
Spring Break - no class
Week 8 - Feb 22nd

Thursday Feb 22nd: Samples, populations. Inferential statistics. Sampling distributions. Sampling distribution of the sample mean. Sampling distributions of the sample variance. The standard error.

Chapter 7 (7.1, 7.2, 7.3)

Week 8 Problem

 

Week 9 - Mar 1st

Thursday March 1st: Logic of hypothesis testing, z-test, critical regions, P-value.

Quiz 2 review

Chapter 8 (8.1, 8.3, 8.4)

Week 9 Problem

 

Week 10 - Mar 8th

Thursday Mar 8th: Quiz 2, Chapters 5, 6, 7, and 8.

Week 11 - March 15th

Thursday March 15th: Alpha, Beta and power. Effect size. Cohen's d.

Chapter 8 (8.2, 8.5, 8.6).

 

Week 12 - March 22nd

Thursday March 22nd: Relationship between effect size and correlation. t-test for a single sample mean, t distribution.

Chapter 9 (All).

Week12, 13, 14 Problem: Part 1

Week 13 - March 29th

Thursday March 29th: t-test for independent sample means. t-test for dependent samples. Confidence intervals.

Chapter 10 (All)

Week12, 13, 14 Problem: Parts 2 - 5

Week 14 - April 5th

Thursday April 5th: ANOVA, Eta squared, course debrief - what was this all about?

Chapter 12

Week12, 13, 14 Problem: Part 6

 

Week 15 - April 12th

Thursday April 12th: Your final report. Final exam preview.

Week12, 13, 14 Problem: Final Report

 

Test Exemption Policy

 

All tests are to be completed in class. ONLY MEDICAL extensions are accepted for tests. Supporting medical documentation must be provided for a missed quiz. Given the growing problem of fabricated medical documentation, the instrucor has the right to refuse medical documentation. If you have a medical problem, please contact the instructor as soon as you can so that measures can be taken to help you complete the requirements of the course.

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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