# Ch 7: Sampling Lesson Plans

The Sampling chapter of this course is designed to help you plan and teach the types of samples and methods of sampling in your classroom. The video lessons, quizzes and transcripts can easily be adapted to provide your lesson plans with engaging and dynamic educational content. Make planning your course easier by using our syllabus as a guide.

## Weekly Syllabus

Below is a sample breakdown of the Sampling chapter into a 5-day school week. Based on the pace of your course, you may need to adapt the lesson plan to fit your needs.

DayTopicsKey Terms and Concepts Covered
Monday Random samplingDefinition and random sampling, conditions that make a sample random
TuesdaySimple random samples
Stratified random samples
Definition, characteristics and examples of simple and stratified random samples, information on how they can be selected or recognized
Wednesday Cluster random samples
Systematic random samples
Ways to select cluster random samples, with examples;
Definition, formula and benefits of systematic random samples
Thursday Law of large numbers
Sampling distributions
Overview of the law of large numbers and its applications;
Definition of sampling distribution, overview of the central limit theorem
Friday Mean and standard error
How to determine the mean and standard error of the sampling distribution;
How to use normal distributions and the central limit theorem to find probabilities about means

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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