Counting for Something Statistical Principles and Personalities [Hardcover]

1 StatisticsThe Word.- Descriptive Statistics.- Inferential Statistics.- References.- 2 Distributions.- The Frequency Distribution.- Summary Measures.- Graphs.- References.- 3 Special Averages.- Index Numbers.- Some History.- The Harmonic Mean.- Averaging Time Rates.- Simpsons Paradox.- References.- 4 Making Comparisons.- Comparing Observations.- Standard Scores.- Comparing Variables.- Median and Quartiles.- Boxplots.- Ordinal Data.- The Dollar Scale.- References.- 5 Probability.- Laplaoes Principles of Probability.- Counting the Ways.- Poker Hands.- The Birthday Problem.- Probability in Court.- Which Question Was That?.- References.- 6 Craps and Binomial.- Probabilities for Craps.- The Binomial Distribution.- Inference from the Binomial.- Interval Estimates.- References.- 7 Horsekicks, Deadly Quarrels, and Flying Bombs.- The Poisson Distribution.- The Exponential Distribution.- A Problem of Authorship.- References.- 8 Normal Distribution.- The Standard Normal Distribution.- Probability Distribution of the Sample Mean.- Process Control Chart.- The Central Limit Theorem.- References.- 9 Political Arithmetic.- Beginnings in England.- America to 1790.- The United States, 17901900.- Statistics and Social Issues.- 19001950.- Since 1950.- References.- 10 Regression and Correlation.- The Regression Line.- Variation from Regression.- Correlation and Gallon.- References.- 11 Karl Pearson.- Karl Pearsonto 1901.- Chi-Square Goodness-of-Fit Test.- Karl Pearsonfrom 1901.- References.- 12 Pearson to Cosset to Fisher.- William S. Gosset (Student).- Ronald A. Fisher.- Using the t-Distribution.- References.- 13 More Regression.- Standard Error of the Regression Coefficient.- Transformations.- Multiple Regression and Correlation.- History and Applications.- References.- 14 R. A. Fisher.- The Analysis of Variance.- R. A. Fisherfrom 1925.- Experimental Design.- Postscript.- References.- 15 Sampling: Polls and Surveys.- Proportions.- Coefficient of Variation.- Random Numbers.- Slc¿