# Help students struggling in your statistics course, stat!

Introducing our Beginning Statistics Plus Integrated Review, a courseware and eBook package that provides students with an introduction to a curriculum-level statistics course integrated with applicable review skills.

### Chapter 0: Strategies for Academic Success

 0.1 How to Read a Math Textbook 0.2 Tips for Success in a Math Course 0.3 Tips for Improving Math Test Scores 0.4 Practice, Patience, and Persistence! 0.5 Note Taking 0.6 Do I Need a Math Tutor? 0.7 Tips for Improving Your Memory 0.8 Overcoming Anxiety 0.9 Online Resources 0.1 Preparing for a Final Math Exam 0.11 Managing Your Time Effectively

### Chapter 1.R: Integrated Review

 1.R.1 Problem Solving with Whole Numbers 1.R.2 Introduction to Decimal Numbers

### Chapter 1: Introduction to Statistics

 1.1 Getting Started 1.2 Data Classification 1.3 The Process of a Statistical Study 1.4 How to Critique a Published Study Chapter 1 Review Chapter 1 Review

### Chapter 2.R: Integrated Review

 2.R.1 Introduction to Fractions and Mixed Numbers 2.R.2 Decimal Numbers and Fractions 2.R.3 Decimals and Percents 2.R.4 Reading Graphs 2.R.5 Constructing Graphs from Databases 2.R.6 The Real Number Line and Inequalities

### Chapter 2: Graphical Descriptions of Data

 2.1 Frequency Distributions 2.2a Graphical Displays of Data: Pie Charts and Bar Graphs 2.2b Graphical Displays of Data: Histograms, Polygons, Stem and Leaf Plots 2.3 Analyzing Graphs Chapter 2 Review Chapter 2 Review

### Chapter 3.R: Integrated Review

 3.R.1 Addition with Real Numbers 3.R.2 Subtraction with Real Numbers 3.R.3 Multiplication and Division with Real Numbers 3.R.4 Exponents and Order of Operations 3.R.5 Simplifying and Evaluating Algebraic Expressions 3.R.6 Evaluating Radicals

### Chapter 3: Numerical Descriptions of Data

 3.1 Measures of Center 3.2a Measures of Dispersion 3.2b Applying the Standard Deviation 3.3 Measures of Relative Position Chapter 3 Review Chapter 3 Review

### Chapter 4.R: Integrated Review

 4.R.1 Multiplication and Division with Fractions and Mixed Numbers 4.R.2 Least Common Multiple (LCM) 4.R.3 Addition and Subtraction with Fractions 4.R.4 Fractions and Percents

### Chapter 4: Probability, Randomness, and Uncertainty

 4.1 Introduction to Probability 4.2 Addition Rules for Probability 4.3 Multiplication Rules for Probability 4.4 Combinations and Permutations 4.5 Combining Probability and Counting Techniques Chapter 4 Review Chapter 4 Review

### Chapter 5.R: Integrated Review

 5.R.1 Order of Operations with Real Numbers 5.R.2 Linear Inequalities and Compound Inequalities in One Variable

### Chapter 5: Discrete Probability Distributions

 5.1 Discrete Random Variables 5.2 Binomial Distribution 5.3 Poisson Distribution 5.4 Hypergeometric Distribution Chapter 5 Review Chapter 5 Review

### Chapter 6.R: Integrated Review

 6.R.1 Area 6.R.2 Solving Linear Equations: ax + b = c 6.R.3 Working with Formulas

### Chapter 6: Normal Probability Distributions

 6.1 Introduction to the Normal Distribution 6.2 Finding Area Under a Normal Distribution 6.3 Finding Probability Using a Normal Distribution 6.4 Finding Values of a Normally Distributed Random Variable 6.5 Approximating a Binomial Distribution Using a Normal Distribution Chapter 6 Review Chapter 6 Review

### Chapter 7.R: Integrated Review

 7.R.1 Ratios, Unit Rates, and Proportions

### Chapter 7: The Central Limit Theorem

 7.1 Introduction to the Central Limit Theorem 7.2 Central Limit Theorem with Means 7.3 Central Limit Theorem with Proportions Chapter 7 Review Chapter 7 Review

### Chapter 8: Confidence Intervals

 8.1 Estimating Population Means (Sigma Known) 8.2 Student’s t-Distribution 8.3 Estimating Population Means (Sigma Unknown) 8.4 Estimating Population Proportions 8.5 Estimating Population Variances Chapter 8 Review Chapter 8 Review

### Chapter 9: Confidence Intervals for Two Samples

 9.1 Comparing Two Population Means (Sigma Known) 9.2 Comparing Two Population Means (Sigma Unknown) 9.3 Comparing Two Population Means (Sigma Unknown, Dependent Samples) 9.4 Comparing Two Population Proportions 9.5 Comparing Two Population Variances Chapter 9 Review Chapter 9 Review

### Chapter 10.R: Integrated Review

 10.R.1 Translating English Phrases and Algebraic Expressions 10.R.2 Comparisons and Order of Operations with Fractions

### Chapter 10: Hypothesis Testing

 10.1 Fundamentals of Hypothesis Testing 10.2 Hypothesis Testing for Population Means (Sigma Known) 10.3 Hypothesis Testing for Population Means (Sigma Unknown) 10.4 Hypothesis Testing for Population Proportions 10.5 Hypothesis Testing for Population Variances 10.6 Chi-Square Test for Goodness of Fit 10.7 Chi-Square Test for Association Chapter 10 Review Chapter 10 Review

### Chapter 11: Hypothesis Testing (Two or More Populations)

 11.1 Hypothesis Testing:  Two Population Means (Sigma Known) 11.2 Hypothesis Testing:  Two Population Means (Sigma Unknown) 11.3 Hypothesis Testing:  Two Population Means (Sigma Unknown, Dependent Samples) 11.4 Hypothesis Testing:  Two Population Proportions 11.5 Hypothesis Testing:  Two Population Variances 11.6 ANOVA (Analysis of Variance) Chapter 11 Review Chapter 11 Review

### Chapter 12.R: Integrated Review

 12.R.1 The Cartesian Coordinate System 12.R.2 Graphing Linear Equations in Two Variables 12.R.3 Slope-Intercept Form

### Chapter 12: Regression, Inference, and Model Building

 12.1 Scatter Plots and Correlation 12.2 Linear Regression 12.3 Regression Analysis 12.4 Multiple Regression Equations Chapter 12 Review Chapter 12 Review

### Chapter A: Appendix

 A.1 Constructing Samples A.2 Games of Chance A.3 Name that Distribution A.4 Type II Errors A.5 Direct Mail A.6 Hypothesis Testing Means (z Value) A.7 Hypothesis Testing Proportions (z Value) A.8 ANOVA Regression A.9 R-Charts A.10 p-Charts A.11 c-Charts A.12 Mean Charts Using Range A.13 Mean Charts Using s A.14 Introduction to Estimating Population Means