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Hypothesis Testing with One Sample (Chapter 9) | Statistics Lecture Slides & Study Guide 2026/2027

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This Hypothesis Testing with One Sample (Chapter 9) resource explains how to test claims about a population using a single sample of data. It covers key concepts such as null and alternative hypotheses, p-values, significance levels, and decision-making using z-tests and t-tests. This guide is ideal for students preparing for statistics exams who want a clear, structured understanding of hypothesis testing and statistical inference.

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Statistics
Chapter 9 Hypothesis Testing with One Sample

,Chapter outline

1. Null and Alternative Hypotheses
2. Outcomes and the Type I and Type II Errors
3. Distribution Needed for Hypothesis Testing
4. Rare Events, the Sample, and the Decision and Conclusion
5. Additional Information and Full Hypothesis Test Examples
6. Hypothesis Testing of a Single Mean and Single Proportion

, Figure 9.1




You can use a hypothesis test to decide if a dog breeder’s claim that every Dalmatian has 35 spots is statistically sound. (credit: Robert Neff)

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