Beginning Statistics Plus Integrated Review

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 curriculum-level statistics course with applicable review skills integrated throughout. Just-in-time 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, real-world data sets

  • Step-by-step instructions for TI calculators, Excel, Minitab®, SPSS, JMP, and R

  • Chapter projects that apply lessons to real-life 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

Table of Contents

  1. 0: Strategies for Academic Success
    1. 0.1 How to Read a Math Textbook
    2. 0.2 Tips for Success in a Math Course
    3. 0.3 Tips for Improving Math Test Scores
    4. 0.4 Practice, Patience, and Persistence!
    5. 0.5 Note Taking
    6. 0.6 Do I Need a Math Tutor?
    7. 0.7 Tips for Improving Your Memory
    8. 0.8 Overcoming Anxiety
    9. 0.9 Online Resources
    10. 0.10 Preparing for a Final Math Exam
    11. 0.11 Managing Your Time Effectively
  2. Chapter 1.R: Integrated Review
    1. 1.R.1 Problem Solving with Whole Numbers
    2. 1.R.2 Introduction to Decimal Numbers
    3. 1.R.3 Estimating and Order of Operations with Decimal Numbers
    4. 1.R.4 Decimals and Percents
  3. Chapter 1: Introduction to Statistics
    1. 1.1 Getting Started
    2. 1.2 Data Classification
    3. 1.3 The Process of a Statistical Study
    4. 1.4 How to Critique a Published Study
    5. Chapter 1 Review
  4. Chapter 2.R: Integrated Review
    1. 2.R.1 Introduction to Fractions and Mixed Numbers
    2. 2.R.2 Decimal Numbers and Fractions
    3. 2.R.3 Comparisons and Order of Operations with Fractions
    4. 2.R.4 Fractions and Percents
    5. 2.R.5 Reading Graphs
    6. 2.R.6 Constructing Graphs from Databases
    7. 2.R.7 The Real Number Line and Absolute Value
  5. Chapter 2: Graphical Descriptions of Data
    1. 2.1 Frequency Distributions
    2. 2.2 Graphical Displays of Data
    3. 2.3 Analyzing Graphs
    4. Chapter 2 Review
  6. Chapter 3.R: Integrated Review
    1. 3.R.1 Addition with Real Numbers
    2. 3.R.2 Subtraction with Real Numbers
    3. 3.R.3 Multiplication and Division with Real Numbers
    4. 3.R.4 Rules for Exponents
    5. 3.R.5 Simplifying and Evaluating Algebraic Expressions
    6. 3.R.6 Evaluating Radicals
  7. Chapter 3: Numerical Descriptions of Data
    1. 3.1 Measures of Center
    2. 3.2 Measures of Dispersion
    3. 3.3 Measures of Relative Position
    4. Chapter 3 Review
  8. Chapter 4.R: Integrated Review
    1. 4.R.1 Multiplication with Fractions
    2. 4.R.2 Division with Fractions
    3. 4.R.3 Least Common Multiple (LCM)
    4. 4.R.4 Addition and Subtraction with Fractions
    5. 4.R.5 Union and Intersection of Sets
  9. Chapter 4: Probability, Randomness, and Uncertainty
    1. 4.1 Introduction to Probability
    2. 4.2 Addition Rules for Probability
    3. 4.3 Multiplication Rules for Probability
    4. 4.4 Combinations and Permutations
    5. 4.5 Combining Probability and Counting Techniques
    6. Chapter 4 Review
  10. Chapter 5.R: Integrated Review
    1. 5.R.1 Order of Operations with Real Numbers
    2. 5.R.2 Solving Linear Inequalities in One Variable
    3. 5.R.3 Compound Inequalities
  11. Chapter 5: Discrete Probability Distributions
    1. 5.1 Discrete Random Variables
    2. 5.2 Binomial Distribution
    3. 5.3 Poisson Distribution
    4. 5.4 Hypergeometric Distribution
    5. Chapter 5 Review
  12. Chapter 6.R: Integrated Review
    1. 6.R.1 Area
    2. 6.R.2 Solving Linear Equations: ax + b = c
    3. 6.R.3 Working with Formulas
  13. Chapter 6: Normal Probability Distributions
    1. 6.1 Introduction to the Normal Distribution
    2. 6.2 The Standard Normal Distribution
    3. 6.3 Finding Probability Using a Normal Distribution
    4. 6.4 Finding Values of a Normally Distributed Random Variable
    5. 6.5 Approximating a Binomial Distribution Using a Normal Distribution
    6. Chapter 6 Review
  14. Chapter 7: The Central Limit Theorem
    1. 7.1 Sampling Distributions and the Central Limit Theorem
    2. 7.2 Central Limit Theorem with Means
    3. 7.3 Central Limit Theorem with Proportions
    4. Chapter 7 Review
  15. Chapter 8.R: Integrated Review
    1. 8.R.1 Absolute Value Equations
    2. 8.R.2 Absolute Value Inequalities
  16. Chapter 8: Confidence Intervals
    1. 8.1 Estimating Population Means (σ Known)
    2. 8.2 Student's t-Distribution
    3. 8.3 Estimating Population Means (σ Unknown)
    4. 8.4 Estimating Population Proportions
    5. 8.5 Estimating Population Variances
    6. Chapter 8 Review
  17. Chapter 9: Confidence Intervals for Two Samples
    1. 9.1 Comparing Two Population Means (σ Known)
    2. 9.2 Comparing Two Population Means (σ Unknown)
    3. 9.3 Comparing Two Population Means (σ Unknown, Dependent Samples)
    4. 9.4 Comparing Two Population Proportions
    5. 9.5 Comparing Two Population Variances
    6. Chapter 9 Review
  18. Chapter 10.R: Integrated Review
    1. 10.R.1 Translating English Phrases and Algebraic Expressions
    2. 10.R.2 Applications: Scientific Notation
  19. Chapter 10: Hypothesis Testing
    1. 10.1 Fundamentals of Hypothesis Testing
    2. 10.2 Hypothesis Testing for Population Means (σ Known)
    3. 10.3 Hypothesis Testing for Population Means (σ Unknown)
    4. 10.4 Hypothesis Testing for Population Proportions
    5. 10.5 Hypothesis Testing for Population Variances
    6. 10.6 Chi-Square Test for Goodness of Fit
    7. 10.7 Chi-Square Test for Association
    8. Chapter 10 Review
  20. Chapter 11: Hypothesis Testing (Two or More Populations)
    1. 11.1 Hypothesis Testing: Two Population Means (σ Known)
    2. 11.2 Hypothesis Testing: Two Population Means (σ Unknown)
    3. 11.3 Hypothesis Testing: Two Population Means (σ Unknown, Dependent Samples)
    4. 11.4 Hypothesis Testing: Two Population Proportions
    5. 11.5 Hypothesis Testing: Two Population Variances
    6. 11.6 ANOVA (Analysis of Variance)
    7. Chapter 11 Review
  21. Chapter 12.R: Integrated Review
    1. 12.R.1 The Cartesian Coordinate System
    2. 12.R.2 Graphing Linear Equations in Two Variables
    3. 12.R.3 Slope-Intercept Form
  22. Chapter 12: Regression, Inference, and Model Building
    1. 12.1 Scatter Plots and Correlation
    2. 12.2 Linear Regression
    3. 12.3 Regression Analysis
    4. 12.4 Multiple Regression
    5. Chapter 12 Review
  23. Appendix:
    1. A.1 Constructing Samples
    2. A.2 Games of Chance
    3. A.3 Name that Distribution
    4. A.4 Type II Errors
    5. A.5 Direct Mail
    6. A.6 Statistical Process Control
    7. A.7 Choosing the Correct Statistic for Estimating a Population Mean