# Fall 2024 - STAT 201 D100

## Overview

• #### Course Times + Location:

Sep 4 – Dec 3, 2024: Mon, 10:30 a.m.–12:20 p.m.
Burnaby

Oct 15, 2024: Tue, 10:30 a.m.–12:20 p.m.
Burnaby

Sep 4 – Dec 3, 2024: Wed, 10:30–11:20 a.m.
Burnaby

Faculty ,
• #### Prerequisites:

Recommended: 30 units.

## Description

#### CALENDAR DESCRIPTION:

Research methodology and associated statistical analysis techniques for students with training in the life sciences. Intended to be particularly accessible to students who are not specializing in Statistics. Students cannot obtain credit for STAT 201 if they already have credit for - or are taking concurrently - STAT 101, 203, 205, 285, or any upper division STAT course. Quantitative.

#### COURSE DETAILS:

This course may be applied to the Certificate in Liberal Arts

STAT Workshop Coordinator: Marie Loughin

Outline:

Aimed at a non-mathematical audience, this course discusses procedures that are most commonly used in the summary and analysis of experimental and observational data. This course covers Chapters 0-27 (excluding Chapters 13 and 23) of the textbook. Chapters 7, 11, 19, and 24 are section reviews (and thus are optional). Details of the other chapters are as follows:

1. Descriptive Statistics (Chapters 1, 2, and 4 of text) Basic graphical statistics (e.g., bar graphs, pie charts, histograms, scatterplots) and basic numerical statistics (e.g., sample mean, median, mode, quartiles, standard deviation, correlation) are discussed. Scales of measurement are distinguished (e.g., nominal, ordinal, ratio, and interval).
2. Probability (Chapters 3 and 12 of text) The normal distribution is introduced along with probability rules.
3. Sampling (Chapter 8 of text) Various sampling designs such as simple random sampling are discussed. The implementation of sampling procedures is also presented.
4. Experiments and Observational Studies (Chapter 9 of text) The design of experiments is introduced with an emphasis on randomization, treatments, subjects, factors, pairing, and controls. Comparisons are made with observational studies.
5. Inference (Chapters 15, 16, 17, 18) Concepts related to the construction of confidence intervals (e.g., sampling distributions, confidence level, width, interpretation, the effect of sample size) are discussed. Also basic concepts related to the testing of hypotheses (e.g., hypotheses, p-values, statistical significance) are presented.
6. Estimation and Testing for One Sample Problems (Chapters 20 and 22 of text) Procedures for means and proportions are discussed with an emphasis on the use of statistical software and the interpretation of results.
7. Estimation and Testing for Two Sample Problems (Chapters 21 and 23 of text) Procedures for means and proportions are discussed with an emphasis on the use of statistical software and the interpretation of results.
8. One Way ANOVA (Chapter 27 of text) One way analysis of variance procedures are discussed with an emphasis on the use of statistical software and the interpretation of results.
9. Chi-Square Tests (Chapters 6 and 25 of text) Procedures for testing in contingency tables are discussed with an emphasis on the use of statistical software and the interpretation of results. Measures of association are discussed.
10. Regression (Chapter 5 and 26 of text) Simple linear regression is introduced with an emphasis on the use of statistical software and the interpretation of results. Related concepts including residuals, least-squares fit, testing, and the construction of confidence intervals are addressed.

• Class Participation 5%
• HW Assignments 15%
• Midterm 1 20%
• Midterm 2 20%
• Final exam 40%

#### NOTES:

Above grading is subject to change.

There will be no make-up midterms.

You must pass the final exam in order to pass the course.

• Supporting documentation is required if you will miss an exam (midterm or final).
• Normally, only one request for a concession for an exam (midterm or final) will be considered.

## Materials

The Basic Practice of Statistics (9th ed.) by D. S. Moore, W. I. Notz, and M. A. Fligner. Publisher: W.H. Freeman Publishers

Loose-leaf ISBN: 9781319344634 (available at SFU Bookstore)
Other options are available through the MacMillan Learning website.

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

Students with Disabilities:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or caladmin@sfu.ca.

Tutor Requests:
Students looking for a tutor should visit https://www.sfu.ca/stat-actsci/all-students/other-resources/tutoring.html. We accept no responsibility for the consequences of any actions taken related to tutors.