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Cliffsnotes Statistics Quick Review (Cliffs Quick Review)by David H Voelker
Synopses & ReviewsPublisher Comments:Inside the Book:
Why CliffsNotes?
CliffsNotes Quick Review guides give you a clear, concise, easytouse 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 BasicsFast
Synopsis:
About the AuthorScott Adams is earning his PhD in physics at Vanderbilt University. His main interest is in molecular biophysics, especially electrophysiology.
PETER Z. ORTON is Program Director of Global Curriculum Technology for IBM, designing leadership development Web sites, videos, and online simulators for IBMers globally. Table of ContentsIntroduction.
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. StemandLeaf. Box Plot (BoxandWhiskers). 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. NonMutuallyExclusive Outcomes. DoubleCounting. 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 TwoTailed 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. OneSample ztest. Confidence interval for population mean using z. Choosing a sample size. OneSample ttest. Confi dence interval for population mean using t. TwoSample ztest for Comparing Two Means. TwoSample ttest for Comparing Two Means. Confidence interval for comparing two means. Pooled variance method. Paired Difference ttest. 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. ChiSquare (χ2). Review. Resource Center. Glossary. Appendix A: Common Mistakes. Appendix B: Tables. Index. What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
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