ISBN13:978-0470413296 ISBN10: 0470413298 This edition has also been released as: ISBN13: 978-1931914277 ISBN10: 1931914273
Edition/Copyright: 04 Cover: Hardback Publisher: Key College Publishing Published: 06/16/2008 International: No
View Table of Contents
1 A case study of statistics in action
1.1 Discrimination in the workplace : data exploration 1.2 Discrimination in the workplace : inference
2 Exploring distributions
2.1 The shapes of things : visualizing distributions 2.2 Graphical displays for distributions 2.3 Measures of center and spread 2.4 The normal distribution
3 Relationships between two quantitative variables
3.1 Scatterplots 3.2 Getting a line on the pattern 3.3 Correlation : the strength of a linear trend 3.4 Diagnostics : looking for features that the summaries miss 3.5 Shape-changing transformations
4 Sample surveys and experiments
4.1 Why take samples, and how not to 4.2 Randomizing : playing it safe by taking chances 4.3 Experiments and inference about cause 4.4 Designing experiments to reduce variability
5 Sampling distributions
5.1 Sampling from a population 5.2 Generating sampling distributions 5.3 Sampling distribution of the sample mean 5.4 Sampling distribution of the sample proportion 5.5 Sampling distribution of the sum and difference
6 Probability models
6.1 Sample spaces with equally likely outcomes 6.2 The addition rule and disjoint events 6.3 Conditional probability 6.4 Independent events
7 Probability distributions
7.1 Random variables and expected value 7.2 The binomial distribution 7.3 The geometric distribution
8 Inference for proportions
8.1 Estimating a proportion with confidence 8.2 Testing a proportion 8.3 A confidence interval for the difference of two proportions 8.4 A significance test for the difference of two proportions
9 Inference for means
9.1 Toward a confidence interval for a mean 9.2 Toward a significance test for a mean 9.3 When you estimate [sigma] : the t-distribution 9.4 The effect of long tails and outliers 9.5 Inference for the difference between two means 9.6 Paired comparisons
10 Chi-square tests
10.1 Testing a probability model : the chi-square goodness-of-fit test 10.2 The chi-square test of homogeneity 10.3 The chi-square test of independence
11 Inference for regression
11.1 Variation in the estimated slope 11.2 Making inferences about slopes 11.3 Transforming for a better fit
12 Statistics in action : case studies
12.1 Mum's the word! 12.2 Baseball : does money buy success? 12.3 Martin v. Westvaco revisited : testing for possible employment discrimination
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