Beginning Statistics Plus Integrated Review

by Carolyn Warren, Kimberly Denley, and Emily Atchley

Beginning Statistics Plus Review provides students with an introduction to the methodologies and calculations in a curriculum-level statistics course with applicable review skills integrated throughout.

Formats: Software, Textbook, eBook, Guided Notebook

Product ISBN
Courseware + eBook 978-1-941552-98-8
Courseware + eBook + Integrated Review Guided Notebook 978-1-944894-81-8
Courseware + eBook + Beginning Statistics Textbook 978-1-944894-84-9
Courseware + eBook + Beginning Statistics Textbook
+ Integrated Review Guided Notebook
978-1-944894-85-6

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. 1.R Integrated Review
    1. 1.R.1 Problem Solving with Whole Numbers
    2. 1.R.2 Introduction to Decimal Numbers
  3. 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. 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 Decimals and Percents
    4. 2.R.4 Reading Graphs
    5. 2.R.5 Constructing Graphs from Databases
    6. 2.R.6 The Real Number Line and Inequalities
  5. 2 Graphical Descriptions of Data
    1. 2.1 Frequency Distributions
    2. 2.2a Graphical Displays of Data: Pie Charts and Bar Graphs
    3. 2.2b Graphical Displays of Data: Histograms, Polygons, Stem and Leaf Plots
    4. 2.3 Analyzing Graphs
    5. Chapter 2 Review
  6. 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 Exponents and Order of Operations
    5. 3.R.5 Simplifying and Evaluating Algebraic Expressions
    6. 3.R.6 Evaluating Radicals
  7. 3 Numerical Descriptions of Data
    1. 3.1 Measures of Center
    2. 3.2a Measures of Dispersion
    3. 3.2b Applying the Standard Deviation
    4. 3.3 Measures of Relative Position
    5. Chapter 3 Review
  8. 4.R Integrated Review
    1. 4.R.1 Multiplication and Division with Fractions and Mixed Numbers
    2. 4.R.2 Least Common Multiple (LCM)
    3. 4.R.3 Addition and Subtraction with Fractions
    4. 4.R.4 Fractions and Percents
  9. 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. 5.R Integrated Review
    1. 5.R.1 Order of Operations with Real Numbers
    2. 5.R.2 Linear Inequalities and Compound Inequalities in One Variable
  11. 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. 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. 6 Normal Probability Distributions
    1. 6.1 Introduction to the Normal Distribution
    2. 6.2 Finding Area Under a 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. 7.R Integrated Review
    1. 7.R.1 Ratios, Unit Rates, and Proportions
  15. 7 The Central Limit Theorem
    1. 7.1 Introduction to the Central Limit Theorem
    2. 7.2 Central Limit Theorem with Means
    3. 7.3 Central Limit Theorem with Proportions
    4. Chapter 7 Review
  16. 8 Confidence Intervals
    1. 8.1 Estimating Population Means (Sigma Known)
    2. 8.2 Student's t-Distribution
    3. 8.3 Estimating Population Means (Sigma Unknown)
    4. 8.4 Estimating Population Proportions
    5. 8.5 Estimating Population Variances
    6. Chapter 8 Review
  17. 9 Confidence Intervals for Two Samples
    1. 9.1 Comparing Two Population Means (Sigma Known)
    2. 9.2 Comparing Two Population Means (Sigma Unknown)
    3. 9.3 Comparing Two Population Means (Sigma Unknown, Dependent Samples)
    4. 9.4 Comparing Two Population Proportions
    5. 9.5 Comparing Two Population Variances
    6. Chapter 9 Review
  18. 10.R Integrated Review
    1. 10.R.1 Translating English Phrases and Algebraic Expressions
    2. 10.R.2 Comparisons and Order of Operations with Fractions
  19. 10 Hypothesis Testing
    1. 10.1 Fundamentals of Hypothesis Testing
    2. 10.2 Hypothesis Testing for Population Means (Sigma Known)
    3. 10.3 Hypothesis Testing for Population Means (Sigma 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. 11 Hypothesis Testing (Two or More Populations)
    1. 11.1 Hypothesis Testing: Two Population Means (Sigma Known)
    2. 11.2 Hypothesis Testing: Two Population Means (Sigma Unknown)
    3. 11.3 Hypothesis Testing: Two Population Means (Sigma 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. 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. 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 Equations
    5. Chapter 12 Review
  23. Chapter A: 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 Hypothesis Testing Means (z Value)
    7. A.7 Hypothesis Testing Proportions (z Value)
    8. A.8 ANOVA Regression
    9. A.9 R-Charts
    10. A.10 p-Charts
    11. A.11 c-Charts
    12. A.12 Mean Charts Using Range
    13. A.13 Mean Charts Using s
    14. A.14 Introduction to Estimating Population Means