MISSION 283

Sampling

Learn about sampling and various sampling methods.

Objectives

  • Learn about poulation and samples.
  • Learn various sampling methods.

Mission Outline

1. Introduction
2. Solving Problems with Statistics
3. Populations and Samples
4. Sampling Error
5. Simple Random Sampling
6. The Importance of Sample Size
7. Stratified Sampling
8. Proportional Stratified Sampling
9. Choosing the Right Strata
10. Cluster Sampling
11. Sampling in Data Science Practice
12. Descriptive and Inferential Statistics
13. Next Steps
14. Takeaways

statistics-fundamentals

Course Info:

Statistics Fundamentals

Beginner

The median completion time for this course is 6.75 hours.

This course requires a basic subscription. This course includes five missions, and one guided project. It is the 15th course in the Data Analyst in Python and Data Scientist in Python path.

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