Basic Statistical AnalysisPearson Higher Education & Professional Group, 1996 - Mathematics This readable revision is presented as simply as possible to ensure that readers will gain a solid understanding of statistical procedures. The goal of this book is to demystify statistics. Presented with rules of evidence and the logic behind those rules. The book is divided into three major units: Descriptive Statistics, Inferential Statistics, and Advanced Topics in Inferential Statistics. Includes definitions of key concepts in the glossary to prevent confusion over terminology. Presents a brief biography of six people who have had the most impact on the field of statistics. Offers new and easier methods for finding percentiles in Chapter 5. For anyone interested in Social Statistics and Measurement. |
Contents
GRAPHS AND MEASURES OF CENTRAL TENDENCY | 10 |
THE NORMAL CURVE AND z SCORES | 33 |
z SCORES T SCORES AND OTHER NORMAL CURVE TRANSFORMATIONS | 55 |
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95 confidence interval a z score alpha error ANOVA by ranks assumed before-after design beta error Calculate the appropriate Calculate the F Calculate the standard central tendency CLASS ACTIVITIES Activity confidence interval contingency table correlation is significant degrees of freedom error of difference error of estimate estimated standard error F ratio factorial ANOVA Find following set frequency Friedman ANOVA higher increase independent variable individual scores interval data matched-subjects design middle-most negative never nominal data non-parametric normal curve normal distribution null hypothesis number of degrees ordinal data ordinal test paired parameter parametric tests partial correlation Pearson platykurtic population mean questions random sample randomly selected raw score raw score distribution regression line rejected or accepted reliability rows sample groups sample mean sample scores sampling error set of scores single population skewed Spearman square standard deviation statistical test tabled value technique test the hypothesis two-tail variance within-subjects ANOVA z score