Beginning Statistics Plus Integrated Review
by Carolyn Warren Wiley, Kimberly Denley, and Emily Atchley
Beginning Statistics Plus Integrated Review provides students with an introduction to the methodologies and calculations in a curriculumlevel statistics course with applicable review skills integrated throughout. Justintime remediation of foundational math topics and contextualized prerequisite skills are provided for corequisite students.
Updates to the new edition include new and streamlined questions with fewer steps, a modernized methodology for hypothesis testing, current data, and more. An emphasis is placed on the ability to use different methodologies to arrive at correct answers.
A curated list of resources for this title is available at stat.hawkeslearning.com. This companion website features:

Free, realworld data sets

Stepbystep instructions for TI calculators, Excel, Minitab^{®}, SPSS, JMP, and R

Chapter projects that apply lessons to reallife scenarios

Links to data visualization resources

External videos explaining key topics
Bundling options include Minitab^{®}, SPSS, JMP, and Rguroo.
Formats: Software, Textbook, eBook, Guided Notebook
Product  ISBN 

Software + eBook  9781642772814 
Software + eBook + Textbook  9781642772821 
Software + eBook + Guided Notebook  9781642773255 
Table of Contents

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
 0.10 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
 1.R.3 Estimating and Order of Operations with Decimal Numbers
 1.R.4 Decimals and Percents

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 Decimal Numbers and Fractions
 2.R.3 Comparisons and Order of Operations with Fractions
 2.R.4 Fractions and Percents
 2.R.5 Reading Graphs
 2.R.6 Constructing Graphs from Databases
 2.R.7 The Real Number Line and Absolute Value

Chapter 2: Graphical Descriptions of Data
 2.1 Frequency Distributions
 2.2 Graphical Displays of Data
 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 Rules for Exponents
 3.R.5 Simplifying and Evaluating Algebraic Expressions
 3.R.6 Evaluating Radicals

Chapter 3: Numerical Descriptions of Data
 3.1 Measures of Center
 3.2 Measures of Dispersion
 3.3 Measures of Relative Position
 Chapter 3 Review

Chapter 4.R: Integrated Review
 4.R.1 Multiplication with Fractions
 4.R.2 Division with Fractions
 4.R.3 Least Common Multiple (LCM)
 4.R.4 Addition and Subtraction with Fractions
 4.R.5 Union and Intersection of Sets

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 in One Variable
 5.R.3 Compound 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 The Standard 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: The Central Limit Theorem
 7.1 Sampling Distributions and the Central Limit Theorem
 7.2 Central Limit Theorem with Means
 7.3 Central Limit Theorem with Proportions
 Chapter 7 Review

Chapter 8.R: Integrated Review
 8.R.1 Absolute Value Equations
 8.R.2 Absolute Value Inequalities

Chapter 8: Confidence Intervals
 8.1 Estimating Population Means (σ Known)
 8.2 Student's tDistribution
 8.3 Estimating Population Means (σ 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 (σ Known, Independent Samples)
 9.2 Comparing Two Population Means (σ Unknown, Independent Samples)
 9.3 Comparing Two Population Means (σ 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 Applications: Scientific Notation

Chapter 10: Hypothesis Testing
 10.1 Fundamentals of Hypothesis Testing
 10.2 Hypothesis Testing for Population Means (σ Known)
 10.3 Hypothesis Testing for Population Means (σ Unknown)
 10.4 Hypothesis Testing for Population Proportions
 10.5 Hypothesis Testing for Population Variances
 10.6 ChiSquare Test for Goodness of Fit
 10.7 ChiSquare Test for Association
 Chapter 10 Review

Chapter 11: Hypothesis Testing (Two or More Populations)
 11.1 Hypothesis Testing: Two Population Means (σ Known)
 11.2 Hypothesis Testing: Two Population Means (σ Unknown)
 11.3 Hypothesis Testing: Two Population Means (σ 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
 12.R.3 SlopeIntercept 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
 Chapter 12 Review

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 Statistical Process Control
 A.7 Choosing the Correct Statistic for Estimating a Population Mean