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Full Description
Inside the BookPrinciples of testing Univariate inferential tests Bivariate relationships Review questions Resource center Glossary Common mistakes Tables Why CliffsNotes? Go with the name you know and trust Get the information you need-fast! CliffsNotes Quick Review guides give you a clear, concise, easy-to-use review of the basics. Introducing each topic, defining key terms, and carefully walking you through sample problems, this guide helps you grasp and understand the important concepts needed to succeed. Access 500 additional practice questions at www.cliffsnotes.com/go/quiz/statistics Master the Basics--Fast Complete coverage of core concepts Easy topic-by-topic organization Access hundreds of practice problems at www.cliffsnotes.com/go/quiz/statistics
Contents
Introduction. Why You Need This Book. How to Use This Book. Hundreds of Practice Questions Online! Chapter 1: Overview. Types of Statistics. Numerical statistics. Pictorial statistics. Method of Statistical Inference. Steps in the Process. Making Predictions. Comparing Results. Probability. Common Statistics Mistakes. Chapter 2: Graphic Displays. Bar Chart. Pie Chart. Dot Plot. Ogive. Frequency Histogram. Relative Frequency Histogram. Frequency Polygon. Frequency Distribution. Stem-and-Leaf. Box Plot (Box-and-Whiskers). Scatter Plot. Chapter 3: Numerical Measures. Measures of Central Tendency. Mean. Median. Mode. Notation and formulae. Mean for grouped data. Median for grouped data. Symmetric distribution. Skewed curves. Measures of Variability. Range. Deviation and variance. Standard deviation. Notation. Empirical rule: The normal curve. Shortcut formulae. Percentile. Quartiles and interquartile range. Measurement Scales. Chapter 4: Probability. Classic Theory. Relative Frequency Theory. Probability of Simple Events. Independent Events. Dependent Events. Probability of Joint Occurrences. Multiplication rule. Addition rule. Non-Mutually-Exclusive Outcomes. Double-Counting. Conditional Probability. Probability Distributions. Discrete vs. continuous variables. Total of probabilities of discrete variables. The Binomial. Binomial experiments. Binomial table. Mean and standard deviation. Chapter 5: Sampling. Populations, Samples, Parameters, and Statistics. Sampling Distributions. Random and Systematic Error. Central Limit Theorem. Properties of the Normal Curve. Normal Approximation to the Binomial. Chapter 6: Principles of Testing. Stating Hypotheses. The Test Statistic. One- and Two-Tailed Tests. Type I and II Errors. Significance. Point Estimates and Confidence Intervals. Estimating a Diff erence Score. Univariate Tests: An Overview. Chapter 7: Univariate Inferential Tests. One-Sample z -test. Confidence interval for population mean using z . Choosing a sample size. One-Sample t -test. Confi dence interval for population mean using t . Two-Sample z -test for Comparing Two Means. Two-Sample t -test for Comparing Two Means. Confidence interval for comparing two means. Pooled variance method. Paired Difference t -test. Test for a Single Population Proportion. Confidence interval for a single population proportion. Choosing a sample size. Test for Comparing Two Proportions. Confidence interval for comparing two proportions. Chapter 8: Bivariate Relationships. Correlation. Finding the significance of r . The coefficient of determination. Simple Linear Regression. Confidence interval for the slope. Confidence interval for prediction. Assumptions and cautions. Chi-Square (chi2). Review. Resource Center. Glossary. Appendix A: Common Mistakes. Appendix B: Tables. Index.
