Statistics Foundations: 2

Go beyond the basics of statistics with practical, example-based lessons to learn how data sets and statistics are used in the real world.

Introduction

• Discover samples, confidence intervals, and hypothesis testing

1. Sampling

• Sample considerations
• Random samples
• Alternative to random samples

2. Sample Size

• The importance of sample size
• The central limit theorem

3. Standard Error

• Standard error for proportions
• Sampling distribution of the mean
• Standard error for means

4. Confidence Intervals

• Introduction to confidence intervals
• Components of a confidence interval
• Creating a 95% confidence interval for a population
• Alternative confidence intervals
• Confidence intervals with unexpected outcomes

5. Hypothesis Tests

• Hypothesis test introduction
• Hypothesis test : Step-by-step
• One-tailed vs. two-tail tests
• Significance test for proportions
• Significance test for means
• Type one and type two errors

6. Continuing Your Statistics Learning Journey

• Next steps and additional resources