In this course, you will learn:
- The random sample concept, sources of bias in samples, and strategies for ensuring randomness.
- The sample proportion as a random variable idea.
- For large samples, the approximate normality of the distribution of the proportion.
- An interval estimate for a parameter associated with a random variable is a notion.
- How to calculate a proportion's approximate margin of error.