Help students struggling in your statistics course, stat!

Introducing oBeginning Statistics Plus Reviewur 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.

Target your students’ specific remediation needs with just-in-time supplementation of foundational concepts. Check out the table of contents below.

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Table of Contents:

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 2.R: Integrated Review
2.R.1 Introduction to Fractions and Mixed Numbers
2.R.2 Decimals and Fractions
2.R.3 Decimals and Percents
2.R.4 Reading Graphs
2.R.5 Constructing Graphs from a Database
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 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 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 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 5.R: Integrated Review
5.R.1 Order of Operations with Real Numbers
5.R.2 Solving Linear Inequalities
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 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 7.R: Integrated Review
7.R.1 Ratios 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 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 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 10.R: Integrated Review
10.R.1 Translating English Phrases and Algebraic Expressions
10.R.2 Order of Operations with Fractions and Mixed Numbers
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 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 12.R: Integrated Review
12.R.1 The Cartesian Coordinate System
12.R.2 Graphing Linear Equations in Two Variables: Ax + By = C
12.R.3 The Slope-Intercept Form: y = mx + b
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 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

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