How samples work, how sample information is collected, and problems that can occur when using samples to predict population behavior.
Chapter 5: Sampling Methods
496 learners taking this course
Lessons
Introduction (Preview)
Data Collection (Preview)
A comparison of the three methods of data collection covered in this chapter:
- Observational Data
- Experimental Data
- Survey Data
Sampling (Preview)
Why work with samples when what we really want is the population data?
Types of Samples (Preview)
A comparison of the three types of samples covered in this chapter:
- Simple Random Samples
- Stratified Samples
- Cluster Samples
Types of Errors (Preview)
Learn the difference between SAMPLING ERROR and NON-SAMPLING ERROR, and how they are introduced to the samples that researchers collect.
Multiple Choice (Preview)
Test your understanding of Chapter 5: Sampling Methods – each question is accompanied by a mini-video lecture showing you how I decided which solution was the correct one.
