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* + Textbook 978-1-944894-84-9
Courseware + eBook* + Textbook + Integrated Review Guided Notebook 978-1-944894-85-6
* Included eBook can only be accessed online through the courseware.

Table of Contents

  1. 1.R Integrated Review
    1. 1.R.1 Problem Solving with Whole Numbers
    2. 1.R.2 Introduction to Decimal Numbers
  2. 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
  3. 2.R Integrated Review
    1. 2.R.1 Introduction to Fractions and Mixed Numbers
    2. 2.R.2 Decimals and Fractions
    3. 2.R.3 Decimals and Percents
    4. 2.R.4 Reading Graphs
    5. 2.R.5 Constructing Graphs from a Database
    6. 2.R.6 The Real Number Line and Inequalities
  4. 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
  5. 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 Evaluating Algebraic Expressions
    6. 3.R.6 Evaluating Radicals
  6. 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
  7. 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
  8. 4 Probability, Randomness, and Uncertainty
    1. 4.1 Introduction to Probablity
    2. 4.2 Addition Rules for Probability
    3. 4.3 Mulitplication Rules for Probability
    4. 4.4 Combinations and Permutations
    5. 4.5 Combining Probability and Counting Techniques
    6. Chapter 4 Review
  9. 5.R Integrated Review
    1. 5.R.1 Order of Operations with Real Numbers
    2. 5.R.2 Solving Linear Inequalities
  10. 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
  11. 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
  12. 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
  13. 7.R Integrated Review
    1. 7.R.1 Ratios and Proportions
  14. 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
  15. 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
  16. 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
  17. 10.R Integrated Review
    1. 10.R.1 Translating English Phrases and Algebraic Expressions
    2. 10.R.2 Order of Operations with Fractions and Mixed Numbers
  18. 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
  19. 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
  20. 12.R Integrated Review
    1. 12.R.1 The Cartesian Coordinate System
    2. 12.R.2 Graphing Linear Equations in Two Variables: Ax + By = C
    3. 12.R.3 The Slope-Intercept Form: y = mx + b
  21. 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
  22. 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