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ELEMENTARY STATISTICS: A BRIEF VERSION is for introductory statistics courses 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.The 6th edition of Bluman, Elementary Statistics: A Brief Version provides a significant leap forward in terms of online course management with McGraw-Hill's homework platform, Connect Statistics Hosted by ALEKS. Statistic instructors served as digital contributors to choose the problems that will be available, authoring each algorithm and providing stepped out solutions that go into great detail and are focused on areas where students commonly make mistakes. From there, the ALEKS Corporation reviewed each algorithm to ensure accuracy. The result is an online homework platform that provides superior content and feedback, allowing students to effectively learn the material being taught.
Table of Contents
Elementary Statistics: A Brief Version, 6e
Chapter 1: The Nature of Probability and Statistics
1.1, "Descriptive and Inferential Statistics"
1.2, "Variables and Types of Data"
1.3, "Data Collection and Sampling Techniques"
1.4, "Observational and Experimental Studies"
1.5, "Uses and Misuses of Statistics"
1.6, "Computers and Calculators"
Chapter 2: Frequency Distributions and Graphs
2.1, "Organizing Data"
2.2, "Histograms, Frequency Polygons, and Ogives"
2.3, "Other Types of Graphs"
2.4, "Paired Data and Scatter Plots"
Chapter 3: Data Description
3.1, "Measures of Central Tendency"
3.2, "Measures of Variation"
3.3, "Measures of Position"
3.4, "Exploratory Data Analysis"
Chapter 4: Probability and Counting Rules
4.1, "Sample Spaces and Probability"
4.2, "The Addition Rules for Probability"
4.3, "The Multiplication Rules and Conditional Probability"
4.4, "Counting Rules"
4.5, "Probability and Counting Rules"
Chapter 5: Discrete Probability Distributions
5.1, "Probability Distributions"
5.2, "Mean, Variance, Standard Deviation, and Expectation"
5.3, "The Binomial Distribution"
Chapter 6: The Normal Distribution
6.1, "Normal Distributions"
6.2, "Applications of the Normal Distributions"
6.3, "The Central Limit Theorem"
6.4, "The Normal Approximation to the Binomial Distribution"
Chapter 7: Confidence Intervals and Sample Size
7.1, "Confidence Intervals for the Mean When σ Is Known"
7.2, "Confidence Intervals for the Mean When σ Is Unknown"
7.3, "Confidence Intervals and Sample Size for Proportions"
7.4, "Confidence Intervals for Variances and Standard Deviations"
Chapter 8: Hypothesis Testing
8.1, "Steps in Hypothesis Testing – Traditional Method"
8.2, "z Test for a Mean"
8.3, "t Test for a Mean"
8.4, "z Test for a Proportion"
8.5, "Chi-Square Test for a Variance or Standard Deviation"
8.6, "Confidence Intervals and Hypothesis Testing"
Chapter 9: Testing the Difference Between Two Means, Two Proportions, and Two Variances
9.1, "Testing the Difference Between Two Means: Using the z Test"
9.2, "Testing the Difference Between Two Means of Independent Samples: Using the t Test"
9.3, "Testing the Difference Between Two Means: Dependent Samples"
9.4, "Testing the Difference Between Two Variances"
Chapter 10: Correlation and Regression
10.1, "Correlation"
10.2, "Regression"
10.3, "Coefficient of Determination and Standard Error of the Estimate"
Chapter 11: Chi-Square and Analysis of Variance (ANOVA)