# Spring 2021 - STAT 410 D100

## Overview

• #### Course Times + Location:

Mo 2:30 PM – 3:20 PM
REMOTE LEARNING, Burnaby

Th 2:30 PM – 4:20 PM
REMOTE LEARNING, Burnaby

STAT 350.

## Description

#### CALENDAR DESCRIPTION:

An introduction to the major sample survey designs and their mathematical justification. Associated statistical analyses. Quantitative.

#### COURSE DETAILS:

Course Outline:

This course covers the major ideas and methods of modern survey sampling.

1. Ideas of sampling, overview of application areas.  Use of the free statistical software package R to select random samples and explore sampling ideas through simulation and graphics.
2. Simple Random Sampling: Selecting random samples with and without replacement, concept of population and sampling frame, estimating means, totals, and proportions, the finite population correction factor, confidence intervals, use of the normal approximation, choosing the sample size.
3. Unequal probability sampling.  How to select a sample of units with unequal selection or inclusion probabilities, unbiased estimation with unequal probability designs.
4. Stratified Random Sampling: Stratification of a population, selecting stratified random samples, advantages of stratification, gains in precision, confidence limits, optimal sample sizes, stratification after selection.
5. Ratio and Regression Estimation: Use of auxiliary information, bias, mean square error, gains in precision, confidence intervals, design versus model based approaches.

Mode of Teaching:

• Lecture: Synchronous
• Tutorial: Synchronous
• Quizzes and Final Assessment: Synchronous; Date: TBA
• Poster presentation: Synchronous; Date: TBA.
• Final project: Synchronous; date: April 15, 2021
• Remote invigilation (Zoom, or other approved software) will be used.

• Quizzes 36%
• Comprehensive assessment 24%
• Poster presentation 15%
• Project 25%

#### NOTES:

Above grading is subject to change.

## Materials

#### MATERIALS + SUPPLIES:

Sampling: Design and Analysis, 2nd ed. by Sharon Lohr, 2010. Publisher: Cengage
ISBN: 9780495105275

Sampling (Wiley), by Steven Thompson;
see https://www.wiley.com/en-ca/Sampling,+3rd+Edition-p-9780470402313

Both texts (the one by Lohr and the one by Thompson) are available as an electronic copy from the SFU Library.

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.