Discovering Statistics and Data + Integrated Review
by James S. Hawkes
Discovering Statistics and Data Plus Integrated Review pays homage to the technologydriven data explosion by introducing students to what data is, how we measure and visualize it, and what kinds of career opportunities involve its analysis and processing. It includes foundational concepts for justintime supplementation and support of curricular material.
Discovering Statistics and Data Plus Integrated Review is ideal for corequisite courses and is designed to provide all developmental math content needed to support statistics learners.
Companion Website
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 Rguroo

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, Discovering Statistics and Data Textbook, eBook, Guided Notebook
Product  ISBN 

Software + eBook  9781642770407 
Software + eBook + Integrated Review Guided Notebook  9781642770421 
Software + eBook + Discovering Statistics and Data Textbook  9781642770414 
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 1R: Integrated Review
 1.R.1 Problem Solving with Whole Numbers
 1.R.2 Introduction to Decimal Numbers
 1.R.3 Exponents and Order of Operations

Chapter 1: Statistics and Problem Solving
 1.1 The Meaning of Data
 1.2 Statistics as a Career
 1.3 The Data Explosion
 1.4 The Fusion of Data, Computing, and Statistics
 1.5 Big Data
 1.6 Introduction to Statistical Thinking
 1.7 Descriptive vs. Inferential Statistics
 1.8 The Consequences of Statistical Illiteracy

Chapter 2R: 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 Comparisons and Order of Operations with Fractions
 2.R.5 Estimating and Order of Operations with Decimal Numbers
 2.R.6 Fractions and Percents

Chapter 2: Data, Reality, and Problem Solving
 2.1 The Lords of Data
 2.2 Data Classification
 2.3 Time Series Data vs. CrossSectional Data

Chapter 3R. Integrated Review
 3.R.1 Reading Graphs
 3.R.2 Constructing Graphs from a Database
 3.R.3 The Real Number Line and Absolute Value

Chapter 3: Visualizing Data
 3.1 Frequency Distributions
 3.2 Displaying Qualitative Data Graphically
 3.3 Constructing Frequency Distributions for Quantitative Data
 3.4 Histograms and Other Graphical Displays of Quantitative Data
 3.5 Analyzing Graphs

Chapter 4R: Integrated Review
 4.R.1 Addition with Real Numbers
 4.R.2 Subtraction with Real Numbers
 4.R.3 Multiplication and Division with Real Numbers
 4.R.4 Simplifying and Evaluating Algebraic Expressions
 4.R.5 Evaluating Radicals

Chapter 4: Describing and Summarizing Data from One Variable
 4.1 Measures of Location
 4.2 Measures of Dispersion
 4.3 Measures of Relative Position, Box Plots, and Outliers
 4.4 Data Subsetting
 4.5 Analyzing Grouped Data
 4.6 Proportions and Percentages

Chapter 5R: Integrated Review
 5.R.1 The Cartesian Coordinate System
 5.R.2 Graphing Linear Equations in Two Variables
 5.R.3 SlopeIntercept Form
 5.R.4 PointSlope Form

Chapter 5: Discovering Relationships
 5.1 Scatterplots and Correlation
 5.2 Fitting a Linear Model
 5.3 Evaluating the Fit of a Linear Model
 5.4 Fitting a Linear Time Trend
 5.5 Scatterplots for More Than Two Variables

Chapter 6R: Integrated Review
 6.R.1 Multiplication with Fractions
 6.R.2 Division with Fractions
 6.R.3 Least Common Multiple (LCM)
 6.R.4 Addition and Subtraction with Fractions
 6.R.5 Addition and Subtraction with Mixed Numbers
 6.R.6 Union and Intersection of Sets

Chapter 6: Probability, Randomness, and Uncertainty
 6.1 Introduction to Probability
 6.2 Addition Rules for Probability
 6.3 Multiplication Rules for Probability
 6.4 Combinations and Permutations
 6.5 Bayes’ Theorem

Chapter 7R: Integrated Review
 7.R.1 Order of Operations with Real Numbers
 7.R.2 Solving Linear Inequalities in One Variable
 7.R.3 Compound Inequalities

Chapter 7: Discrete Probability Distributions
 7.1 Types of Random Variables
 7.2 Discrete Random Variables
 7.3 The Discrete Uniform Distribution
 7.4 The Binomial Distribution
 7.5 The Poisson Distribution
 7.6 The Hypergeometric Distribution

Chapter 8R: Integrated Review
 8.R.1 Area
 8.R.2 Solving Linear Equations: ax + b = c
 8.R.3 Working with Formulas

Chapter 8: Continuous Probability Distributions
 8.1 The Uniform Distribution
 8.2 The Normal Distribution
 8.3 The Standard Normal Distribution
 8.4 Applications of the Normal Distribution
 8.5 Assessing Normality
 8.6 Approximation to the Binomial Distribution

Chapter 9: Samples and Sampling Distributions
 9.1 Random Samples
 9.2 Introduction to Sampling Distributions
 9.3 The Distribution of the Sample Mean and the
 Central Limit Theorem
 9.4 The Distribution of the Sample Proportion
 9.5 Other Forms of Sampling

Chapter 10R: Integrated Review
 10.R.1 Absolute Value Equations
 10.R.2 Absolute Value Inequalities

Chapter 10: Estimation: Single Samples
 10.1 Point Estimation of the Population Mean
 10.2 Interval Estimation of the Population Mean
 10.3 Estimating the Population Proportion
 10.4 Estimating the Population Standard Deviation or Variance

Chapter 11R: Integrated Review
 11.R.1 Translating English Phrases and Algebraic Expressions
 11.R.2 Applications: Scientific Notation

Chapter 11: Hypothesis Testing: Single Samples
 11.1 Introduction to Hypothesis Testing
 11.2 Testing a Hypothesis about a Population Mean with σ Known and Unknown
 11.3 The Relationship Between Confidence Interval Estimation and Hypothesis Testing
 11.4 Testing a Hypothesis about a Population Proportion
 11.5 Testing a Hypothesis about a Population Standard Deviation or Variance
 11.6 Practical Significance vs. Statistical Significance

Chapter 12: Inferences about Two Samples
 12.1 Inference about Two Means: Independent Samples
 12.2 Inference about Two Means: Dependent Samples (Paired Difference)
 12.3 Inference about Two Population Proportions

Chapter 13: Regression, Inference, and Model Building
 13.1 Assumptions of the Simple Linear Model
 13.2 Inference Concerning β_{1}
 13.3 Inference Concerning the Model’s Prediction

Chapter 14: Multiple Regression
 14.1 The Multiple Regression Model
 14.2 The Coefficient of Determination and Adjusted R^{2}
 14.3 Interpreting the Coefficients of the Multiple Regression Model
 14.4 Inference Concerning the Multiple Regression Model and Its Coefficients
 14.5 Inference Concerning the Model’s Prediction
 14.6 Multiple Regression Models with Qualitative Independent Variables

Chapter 15: Analysis of Variance (ANOVA)
 15.1 OneWay ANOVA
 15.2 TwoWay ANOVA: The Randomized Block Design
 15.3 TwoWay ANOVA: The Factorial Design

Chapter 16: Looking for Relationships in Qualitative Data
 16.1 The ChiSquare Distribution
 16.2 The ChiSquare Test for Goodness of Fit
 16.3 The ChiSquare Test for Association

Chapter 17: Nonparametric Tests
 17.1 The Sign Test
 17.2 The Wilcoxon SignedRank Test
 17.3 The Wilcoxon RankSum Test
 17.4 The Rank Correlation Test
 17.5 The Runs Test for Randomness
 17.6 The KruskalWallis Test

Appendix
 A.1 Name that Distribution
 A.2 Direct Mail
 A.3 Type II Errors
 A.4 Games of Chance
 A.5 Comparing Two Population Variances
 A.6 Statistical Process Control