Statistics in a NutshellNeed to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts. Each chapter presents easy-to-follow descriptions, along with graphics, formulas, solved examples, and hands-on exercises. If you want to perform common statistical analyses and learn a wide range of techniques without getting in over your head, this is your book.
|
What people are saying - Write a review
Reviews aren't verified, but Google checks for and removes fake content when it's identified
User Review - Flag as inappropriate
I do not recall the exact number of people she fed everyday
Contents
Chapter 1 Basic Concepts of Measurement | 1 |
Chapter 2 Probability | 21 |
Chapter 3 Inferential Statistics | 45 |
Chapter 4 Descriptive
Statistics and Graphic
Displays | 83 |
Chapter 5 Categorical Data | 121 |
Chapter 6 The tTest | 155 |
Chapter 7 The
Pearson Correlation Coefficient | 173 |
Chapter 8 Introduction to
Regression and ANOVA | 193 |
Chapter 15 Medical and
Epidemiological Statistics | 351 |
Chapter 16 Educational
and Psychological Statistics | 385 |
Chapter 17 Data Management | 411 |
Chapter 18 Research Design | 425 |
Chapter 19 Communicating with Statistics | 449 |
Chapter 20 Critiquing
Statistics Presented by Others | 457 |
Appendix A Review of Basic Mathematics | 473 |
Appendix B Introduction to
Statistical Packages | 499 |
Chapter 9 Factorial ANOVA and ANCOVA | 223 |
Chapter 10 Multiple Linear Regression | 243 |
Chapter 11 Logistic
Multinomial and Polynomial
Regression | 273 |
Chapter 12 Factor
Analysis Cluster Analysis and Discriminant Function Analysis | 291 |
Chapter 13 Nonparametric Statistics | 307 |
Chapter 14 Business and Quality
Improvement Statistics | 325 |
Other editions - View all
Common terms and phrases
adolescent fertility alpha analysis ANOVA assumption average bias binomial binomial distribution calculate Chapter chart chi-square test common confidence interval considered correlation coefficient covariate critical value data points data set degrees of freedom dichotomous discussed disease effect error evaluate examinees example expected experimental factors formula frequency gender graph grip strength histogram independent inferential statistics instance interaction interquartile range linear regression logistic regression lung cancer measure median method Minitab multiple normal distribution null hypothesis observed odds ratio outcome p-value particular population predicted predictor variables presented probability problem proportion random range ranks reject the null relationship reliability sample mean scatterplot score shown in Figure significant Solution specific SPSS square standard deviation standard normal statistical package t-test Table techniques treatment trial variance weight Z-score Z-statistic