Making Sense of Statistics: A Conceptual Overview* An overview of descriptive and inferential statistics without formulas and computations. * Clear and to-the-point narrative makes this short book perfect for all courses in which statistics are discussed. * Helps statistics students who are struggling with the concepts. Shows them the meanings of the statistics they are computing. * This book is easy to digest because it is divided into short sections with review questions at the end of each section. * Running sidebars draw students' attention to important concepts. |
Contents
The Empirical Approach to Knowledge | 3 |
Types of Empirical Research | 7 |
Introduction to Sampling | 11 |
Copyright | |
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Common terms and phrases
05 level a t test algebra grades attitude toward math average bias biased samples chi-square test coefficient of determination column means computed confidence interval correlation data in Example depression scores described descriptive statistic Endnotes Exercise for Section Factual Questions Exercise false frequencies indicates inferential statistics instance interaction interquartile range large number large samples level of measurement main effect math scores median negative skew nominal data Note null hypothesis number names observed difference obtained Pearson percentage population mean pothesis predictor probability Question for Discussion random numbers random sampling errors reject the null research hypothesis research reports sample means sampling errors scales of measurement scattergram scores in Example selected self-concept set of scores significance test simple random sampling standard deviation standard error statement statistically significant Suppose a researcher Suppose you read symbol tion true difference two-way ANOVA Type I Error zero