Math 40: Statistics and Probability
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Statistics is the study of the collection, organization, analysis, interpretation, and presentation of data. This course covers descriptive statistics, including measures of central tendency, dispersion and position; elements of probability; inferential statistics including confidence intervals, hypothesis tests, two-population comparisons; correlation and regression; goodness of fit; analysis of variance; and applications in various fields. An introduction to the use of a computer software package to complete both descriptive and inferential statistics problems is included.
Front Matter
1: The Nature of Statistics
2: Frequency Distributions and Graphs
3: Data Description
4: Probability and Counting
5: Discrete Probability Distributions
6: Continuous Random Variables and the Normal Distribution
7: Confidence Intervals and Sample Size
8: Hypothesis Testing with One Sample
9: Inferences with Two Samples
10: Correlation and Regression
11: Chi-Square and Analysis of Variance (ANOVA)
12: Nonparametric Statistics
13: Appendices
Back Matter