Understanding Statistics as a Language
This book has successfully taught introductory statistics to non-mathematicians who had previously failed two semester of statistics or had completed the courses with no idea of what they had done. It uses a statistical decision model that is easy to understand and apply. Each chapter leads the student through one stats test using Minitab. The book helps the student understand which stat to use and what the results mean to a business person.
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MEASURES OF VARIABILITY
INDEPENDENT GROUP tTEST
PEARSON PRODUCT MOMENT CORRELATION
MANNWHITNEY U TEST
WILCOXON SIGNEDRANKS TEST
SPEARMAN RANK CORRELATION
CHISQUARE GOODNESS OF
TUKEY HONESTLY SIGNIFICANT DIFFERENCE TABLE
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Analysis of Variance analyze ANOVA APPENDIX calculated value central tendency chart chi-square distribution Click OK Compare the calculated computed value computed zw contingency table critical value Decision Model degrees of freedom determine the critical difference is rejected enter the data expected frequencies F-value formula graphs home runs hypotheses in Word hypothesis is rejected hypothesis of equality hypothesis was accepted independent interquartile range interval containing Kruskal-Wallis Kruskal-Wallis test labeled level of measurement level of significance Mann-Whitney mean MINITAB Example Minitab printout normal curve normal distribution null hypothesis number of observations number of scores number of values Open Minitab ordinal Oscar’s Paired t-Test probability Range Statistic rank-order ratio raw score Report the hypotheses research hypothesis Sam’s sample scale Scatterplot Second set of numbers skewed standard deviation standard scores Standridge statistically significant difference symbol table value table X2 total number Tukey ungrouped data Wilcoxon z-score