
Edexcel AS and A Level Modular Mathematics Statistics 4 S4
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Content
- Cover
- Contents
- About this book
- Chapter 1: Quality of tests and estimators
- 1.1: Revision of the principles behind hypothesis testing
- 1.2: Type I and type II errors
- 1.3: Type I and type II errors and the normal distribution
- 1.4: The size and power of a test
- 1.5: The power function
- 1.6: The quality of estimators
- 1.7: Consistent estimators
- Summary of key points
- Chapter 2: One-sample procedures
- 2.1: Student's t-distribution
- 2.2: Confidence interval for the mean of a normal distribution when the variance is unknown
- 2.3: Hypothesis testing for the mean of a normal distribution with unknown variance
- 2.4: The distribution of the variance of a sample taken from a normal distribution
- 2.5: Confidence interval for the variance of a normal distribution
- 2.6: Hypothesis test for the variance of a normal distribution
- Summary of key points
- Review Exercise 1
- Chapter 3: Two-sample procedures
- 3.1: Using the F-distribution
- 3.2: Using the F-distribution tables
- 3.3: Testing whether two independent random samples are from normal populations with equal variance
- 3.4: A pooled estimate of variance
- 3.5: Confidence interval for the difference between two means from independent normal distributions with equal but unknown variances
- 3.6: Carrying out a hypothesis test for the difference between the means of two independent normal distributions with unknown variances (two-sample t-test)
- 3.7: Carrying out the paired t-test
- Summary of key points
- Review Exercise 2
- Examination style paper
- Appendix
- Answers
- Index
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