- Subject:
- Statistics and Probability
- Material Type:
- Module
- Level:
- Community College / Lower Division, College / Upper Division
- Provider:
- Ohio Open Ed Collaborative
- Tags:
- License:
- Creative Commons Attribution Non-Commercial
- Language:
- English
- Media Formats:
- Downloadable docs, Text/HTML, Video
Education Standards
Chapter 1
Chapter 1 Exercises
Chapter 1 - Key Terms
Cluster Sampling - Rahul Patwari
Convenience Sample - Steve Mays
Questionnaire Design
Sampling Methods - Supplementary Problems
Simple Random Sample - Khan Academy
Stats Lab 1 - Data Collection and Sampling Methods
Stratified Random Sample - Rahul Patwari
Systematic Random Sample - Rahul Patwari
Producing Data – Sampling Methods
Overview
Producing Data – Sampling Methods
In this module we will explore the different sampling methods to obtain representative samples from a population. We also learn about the relative advantages and disadvantages of each method.
Learning Objectives:
- Reasons for sampling
- Random Vs. Non-Random Samples
- Sampling Bias and Variability
- Random Sampling Methods – Simple, Stratified, Systematic, Cluster and Multistage random samples
- Non-Random Sampling Methods – Voluntary Response and Convenience sampling
- Sample surveys, sampling errors
- Best method of random sampling
- Sampling distributions
Chapter Exercises
Chapter 1 – pages 54 to 55 - 65, 67, 68, 73, 74, 76
Sampling Methods - Supplementary Problems
Chapter 1 – pages 54 to 55 - 65, 67, 68, 73, 74, 76
Sampling Methods - Supplementary Problems
Lab - Data Collection, Organization and Sampling Methods
Chapter 1 contains two labs, one on data collection and its organization and one on exploring different types of samples. Individual instructors can either use these labs as they are or modify them according to their needs.
These two labs deal with data collection and organization, and selectig different types of samples.
Key Terms
Insert key terms here
Please see Instructor Facing Content
Course Video Resources
Insert listing of video resources here
Please see Instructor Facing Content