Higher Level for the IB Diploma Option Topic 7 Statistics
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English
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Entries: 56
Paul Fannon
core math
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Higher Level for the IB Diploma Option Topic 7 Statistics
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Entries
56
Introduction
Theory
Page 11
1. Combining random variables
Theory
Page 12
1A. Adding and multiplying all the data by a constant
Theory
Page 12
1B. Adding independent random variables
Theory
Page 15
1C. Expectation and variance of the sample mean and sample sum
Theory
Page 19
1D. Linear combinations of normal variables
Theory
Page 22
1E. The distribution of sums and averages of samples
Theory
Page 26
2. More about statistical distributions
Theory
Page 32
2A. Geometric distribution
Theory
Page 32
2B. Negative binomial distribution
Theory
Page 34
2C. Probability generating functions
Theory
Page 37
2D. Using probability generating functions to find the distribution of the sum of discrete random variables
Theory
Page 42
3. Cumulative distribution functions
Theory
Page 48
3A. Finding the cumulative probability function
Theory
Page 48
3B. Distributions of functions of a continuous random variable
Theory
Page 53
4. Unbiased estimators and confidence intervals
Theory
Page 58
4A. Unbiased estimates of the mean and variance
Theory
Page 58
4B. Theory of unbiased estimators
Theory
Page 61
4C. Confidence interval for the population mean
Theory
Page 65
4D. The t-distribution
Theory
Page 70
4E. Confidence interval for a mean with unknown variance
Theory
Page 73
5. Hypothesis testing
Theory
Page 81
5A. The principle of hypothesis testing
Theory
Page 81
5B. Hypothesis testing for a mean with known variance
Theory
Page 88
5C. Hypothesis testing for a mean with unknown variance
Theory
Page 91
5D. Paired samples
Theory
Page 95
5E. Errors in hypothesis testing
Theory
Page 98
6. Bivariate distributions
Theory
Page 107
6A. Introduction to discrete bivariate distributions
Theory
Page 107
6B. Covariance and correlation
Theory
Page 110
6C. Linear regression
Theory
Page 117
7. Summary and mixed examination practice
Test
Page 125
Answers
Answer
Page 133
Appendix: Calculator skills sheets
Other
Page 141
A CASIO. Finding probabilities in the t-distribution
Other
Page 142
A TEXAS. Finding probabilities in the t-distribution
Other
Page 143
B CASIO. Finding t-scores given probabilities
Other
Page 144
B TEXAS. Finding t-scores given probabilities
Other
Page 145
C CASIO. Confidence interval for the mean with unknown variance from data
Other
Page 146
C TEXAS. Confidence interval for the mean with unknown variance from data
Other
Page 147
D CASIO. Confidence interval for the mean with unknown variance from stats
Other
Page 148
D TEXAS. Confidence interval for the mean with unknown variance from stats
Other
Page 150
E CASIO. Hypothesis test for the mean with unknown variance from data
Other
Page 151
E TEXAS. Hypothesis test for the mean with unknown variance from data
Other
Page 153
F CASIO. Hypothesis test for the mean with unknown variance from stats
Other
Page 154
F TEXAS. Hypothesis test for the mean with unknown variance from stats
Other
Page 156
G CASIO. Confidence interval for the mean with known variance from data
Other
Page 158
G TEXAS. Confidence interval for the mean with known variance from data
Other
Page 159
H CASIO. Confidence interval for the mean with known variance from stats
Other
Page 160
H TEXAS. Confidence interval for the mean with known variance from stats
Other
Page 162
I CASIO. Hypothesis test for the mean with known variance from stats
Other
Page 164
I TEXAS. Hypothesis test for the mean with known variance from stats
Other
Page 165
J CASIO. Finding the correlation coefficient and the equation of the regression line
Other
Page 167
J TEXAS. Finding the correlation coefficient and the equation of the regression line
Other
Page 168
Glossary
Other
Page 169
Index
Other
Page 173
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