8: Inferential Statistics and Hypothesis Testing
- Page ID
- 44865
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- 8.1: Growth Mindset
- What's growth mindset?
- 8.2: Samples and Populations Refresher
- Do you remember the difference between a sample and a population? This distinction is becoming even more important.
- 8.3: Can Samples Predict Populations?
- Can we use descriptive statistics about a sample to describe population parameters?
- 8.4: Descriptive versus Inferential Statistics
- What are inferential statistics, and how do they differ from what we've been doing?
- 8.5: The Research Hypothesis and the Null Hypothesis
- It's confusing, but we don't statistically test the Research Hypothesis. We test the Null Hypothesis.
- 8.6: Null Hypothesis Significance Testing
- What do we do with the Research Hypothesis and the Null Hypothesis?
- 8.7: Critical Values
- Another way to describe how research hypotheses, null hypotheses, p-values, and null hypothesis significance testing work.
- 8.8: Practice with p-values and NHST
- One last way to describe how research hypotheses, null hypotheses, p-values, and null hypothesis significance testing work.
- 8.9: Steps of the Hypothesis Testing Process
- We'll test all of our research hypothesis through five-step process based on the scientific method.
- 8.10: The Two Errors in Null Hypothesis Significance Testing
- When working with probabilities, there's always a chance that we'll make the wrong decision and make a mistake (in other words, an error)...
- 8.11: Power and Sample Size
- Wanna be powerful?