# Spring 2021 - STAT 201 D900

## Overview

• #### Course Times + Location:

Mo 12:30 PM – 1:20 PM
REMOTE LEARNING, Burnaby

Th 12:30 PM – 2:20 PM
REMOTE LEARNING, Burnaby

• #### Exam Times + Location:

Apr 17, 2021
8:30 AM – 11:30 AM
REMOTE LEARNING, Burnaby

• #### 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: Harsha Perera

Outline:

Aimed at a non mathematical audience, this course discusses procedures that are most commonly used in the summary of statistical surveys and in the interpretation of experimental data. This course covers Chapters 1-9, 11, 12, 15-22, and 24-27 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, time plots, scatterplots) and basic numerical statistics (e.g. 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 (Chapters 8 and 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 implementation using 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 carrying out regression on actual data using statistical software and the interpretation of results. Related concepts including residuals, least squares fit, testing and the construction of confidence intervals is addressed.

Mode of teaching:

• Lecture: MIX of Asynchronous and Synchronous.
• Quizzes: MIX of Asynchronous and Synchronous.
• Midterm: Synchronous; Date: TBA
• Final exam: Synchronous; Date: TBA
• Remote invigilation (Zoom, Proctorio, or other approved software) will be used.

• Quizzes/HW Assignments 35%
• Midterm Exam (in scheduled class meeting times) 30%
• Final Exam (in scheduled class meeting times) 35%

#### NOTES:

Above grading is subject to change.

There will be no make-up midterms.

#### REQUIREMENTS:

Student participation in this course will require computer equipment and a reliable internet connection. You may be requested to turn on audio and/or video during certain instructional activities, that may include tests and examinations, though exceptions will be accommodated. If you request such an exception for personal reasons, you must do so in writing to the course instructor by the end of the first week.

## Materials

#### MATERIALS + SUPPLIES:

To be able to complete the online class successfully, at a minimum you will need a personal computer, access to the internet, a webcam, and a microphone to take online exams.

Zoom will be used to proctor the exams

Required Textbook:

The Basic Practice of Statistics (8th ed.) & Sapling Plus (Sapling Plus i reccommended but not required)by D. S. Moore, W. I. Notz, and M. A. Fligner. Publisher: W.H. Freeman Publishers

Loose-leaf ISBN: 9781319188658 (available at SFU Bookstore)
Other options are available through the MacMillan Learning website.

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

Tutor Requests:
Students looking for a Tutor should visit http://www.stat.sfu.ca/teaching/need-a-tutor-.html. We accept no responsibility for the consequences of any actions taken related to tutors.