# Summer 2023 - STAT 203 E100

## Overview

• #### Course Times + Location:

May 8 – Aug 4, 2023: Tue, 4:30–5:20 p.m.
Burnaby

May 8 – Aug 4, 2023: Thu, 4:30–6:20 p.m.
Burnaby

• #### Exam Times + Location:

Aug 14, 2023
Mon, 7:00–10:00 p.m.
Burnaby

• #### Prerequisites:

Recommended: 30 units including a research methods course such as SA 255, CRIM 220, POL 200W, or equivalent.

## Description

#### CALENDAR DESCRIPTION:

Descriptive and inferential statistics aimed at students in the social sciences. Scales of measurement. Descriptive statistics. Measures of association. Hypothesis tests and confidence intervals. Students in Sociology and Anthropology are expected to take SA 255 before this course. Intended to be particularly accessible to students who are not specializing in Statistics. Students cannot obtain credit for STAT 203 if they already have credit for - or are taking concurrently - STAT 101, 201, 205, 285, or any upper division STAT course. Quantitative.

#### COURSE DETAILS:

This course may be applied to the Certificate in Liberal Arts

STAT Workshop Coordinators: Marie Loughin

Outline:

This course covers Chapters 1-9, 11, 12, 15-22, and 24-27 of the textbook.  The order of presentation is provided below. Students will produce calculations and graphics using R, which is a free software package.

1. Descriptive Statistics (Chapters 1, 2 and 4): Includes construction and interpretation of basic graphical statistics (e.g. bar graphs, pie charts, histograms, time plots, scatterplots), as well as calculation and interpretation of basic numerical statistics (e.g. mean, median, mode, quartiles, standard deviation, correlation).
2. Producing Data (Chapters 8 and 9): Introduces the concepts of sampling design and sampling procedures. The difference between experiments and observational studies is emphasized. Basic experimental designs are introduced, emphasizing the concepts of randomization, treatments, subjects, factors, pairing, and controls.
3. Probability (Chapters 12, 3, and 15): Introduces some basic probability rules. Also introduces the concept of sampling distributions, with emphasis on the Normal distribution.
4. Intro to Inference (Chapters 16, 17 and 18): Introduces the construction and interpretation of confidence intervals. Introduces the concepts of hypothesis testing, p-values, and statistical significance.
5. Inference about Means (Chapters 20, 21, and 27): Practices the comparison of means to fixed values and comparisons among two or more means. The interpretation of the comparisons is emphasized.
6. Inference about Proportions (Chapters 22 and 23): Practices the comparisons of proportions to fixed values and comparisons between two proportions. The interpretation of the comparisons is emphasized.
7. Chi-square tests (Chapters 6+25): Includes the construction and use of contingency tables for two categorical variables. Procedures for testing for association between two categorical variables are discussed and practiced.
8. Regression (Chapters 5+26): Construction of models using simple linear regression is introduced and practiced. The fit and interpretation of the resulting models is emphasized.

• Assignments 20%
• Quiz 1 10%
• Quiz 2 10%
• Midterm Exam 20%
• Final Exam 40%

#### NOTES:

There will be no make-up midterms.

Above grading is subject to change.

## Materials

#### MATERIALS + SUPPLIES:

R can be accessed via Jupyter, an online platform, at https://sfu.syzygy.ca/. Alternatively, R Studio and R statistical software can be downloaded free of charge from https://www.rstudio.com/ and https://cran.r-project.org/, respectively.

Required Textbook:

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

Book is available through the SFU Bookstore

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.