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Full Description
Elementary Statisticscourses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. In recent editions, Al Bluman has placed more emphasis on conceptual understanding and understanding results, along with increased focus on Excel, MINITAB, and the TI-83 Plus and TI-84 Plus graphing calculators; computing technologies commonly used in such courses.
Contents
Elementary StatisticsProbability and Statistics1.1, Descriptive and Inferential Statistics1.2, Variables and Types of Data1.3, Data Collection and Sampling Techniques1.4, Observational and Experimental Studies1.5, Uses and Misuses of Statistics1.6, Computers and CalculatorsChapter 2: Frequency Distributions and Graphs2.1, Organizing Data2.2, Histograms, Frequency Polygons, and Ogives2.3, Other Types of Graphs2.4, Paired Data and Scatter PlotsChapter 3: Data Description3.1, Measures of Central Tendency3.2, Measures of Variation3.3, Measures of Position3.4, Exploratory Data AnalysisChapter 4: Probability and Counting Rules4.1, Sample Spaces and Probability4.2, The Addition Rules for Probability4.3, The Multiplication Rules and Conditional Probability4.4, Counting Rules4.5, Probability and Counting RulesChapter 5: Discrete Probability Distributions5.1, Probability Distributions5.2, Mean, Variance, Standard Deviation, and Expectation5.3, The Binomial DistributionChapter 6: The Normal Distribution6.1, Normal Distributions6.2, Applications of the Normal Distributions6.3, The Central Limit Theorem6.4, The Normal Approximation to the Binomial DistributionChapter 7: Confidence Intervals and Sample Size7.1, Confidence Intervals for the Mean When Is Known7.2, Confidence Intervals for the Mean When Is Unknown7.3, Confidence Intervals and Sample Size for Proportions7.4, Confidence Intervals for Variances and Standard DeviationsChapter 8: Hypothesis Testing8.1, Steps in Hypothesis Testing - Traditional Method8.2, z Test for a Mean8.3, t Test for a Mean8.4, z Test for a Proportion8.5, Chi-Square Test for a Variance or Standard Deviation8.6, Confidence Intervals and Hypothesis TestingChapter 9: Testing the Difference Between Two Means, Two Proportions, and Two Variances9.1, Testing the Difference Between Two Means: Using the z Test9.2, Testing the Difference Between Two Means of Independent Samples: Using the t Test9.3, Testing the Difference Between Two Means: Dependent Samples9.4, Testing the Difference Between Two VariancesChapter 10: Correlation and Regression10.1, Correlation10.2, Regression10.3, Coefficient of Determination and Standard Error of the EstimateChapter 11: Chi-Square and Analysis of Variance (ANOVA)11.1, Test for Goodness of Fit11.2, Test Using Contingency Tables11.3, Analysis of Variance (ANOVA)Appendix A: TablesAppendix B: Data BankAppendix C: GlossaryAppendix D: Photo CreditsAppendix E: Selected AnswersNER(01): WOW
