Practical Statistics Simply Explained
For those who need to know statistics but shy away from math, this book teaches how to extract truth and draw valid conclusions from numerical data using logic and the philosophy of statistics rather than complex formulae. Lucid discussion of averages and scatter, investigation design, more. Problems with solutions.Reprint of the 1968 edition.
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Nature of Probability
Averages and Scatter
Design of Investigations
Tables of Squares and Square Roots
answer apply arithmetic mean average Binomial Formula binomial sample Binomial Test Biometrika calculated cars column combined comparison contingency table correct correlation data table degrees of freedom due to chance duration E. S. Pearson effect equal expected number experiment factor Fisher's Test formula frequency geometric mean illustrations inoculated interaction isolated occurrences less logarithmic distribution logarithmic mean marbles matched observations median ment method number of measurements number of observations observed difference observed number pairs patients Poisson's Test probability level probability of getting Probability Test probably significant proportion Proportionate Law proven quartile question random sample range rank values Ranks Test refer sample group sample means shows Sicko significance tests significant difference simple smaller class smallpox squares standard deviation statistically significant statistician Sum of Ranks Suppose tentative assumption things tion tosses total number treatment trial value of x2 Wilcoxon's Sum x2 Table x2 Test Yates zl Test