Statistics Text

This book is simply a recommendation. It's the book I'll be using to guide us through the course. But you can use any statistics textbook you want--any age, any condition, any price. There are a billion of them floating around the planet. Just make sure the book generally covers the topics listed below for Chapters 2 through 8.
Topics by Chapter
Chapter 1 - Overview
  Types of Statistics
    Numerical statistics
    Pictorial statistics
  Method of Statistical Inference
  Steps in the Process
  Making Predictions
  Comparing Results
  Common Statistics Mistakes
Chapter 2 - Graphic Displays
  Bar Chart
  Dot Plot
  Pie Chart
  Frequency Histogram
  Relative Frequency Histogram
  Frequency Polygon
  Frequency Distribution
  Box Plot (Box-and-Whiskers)
  Scatter Plot

Chapter 3 - Numerical Measures
  Measures of Central Tendency
    Notation and formulae
    Mean for grouped data
    Median for grouped data
    Symmetric distribution
    Skewed curves
  Measures of Variability
    Deviation and variance
    Standard deviation
Chapter 4 - Probability
  Classic Theory
  Relative Frequency Theory
  Probability of Simple Events
  Independent Events
  Dependent Events
  Probability of Joint Occurrences
    Multiplication rule
    Addition rule
  Non-Mutually Exclusive Outcomes
  Double Counting
  Conditional Probability
  Probability Distributions
    Discrete vs. continuous variables 
    Total of probabilities of discrete variables
  The Binomial
    Binomial experiments
    Binomial table
    Mean and standard deviation


David H. Voelker, Peter Z. Orton, Scott Adams
160 pages
Book ISBN: 978-0-7645-6388-1
PDF ISBN: 978-0-7645-2392-2

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Chapter 5 - Sampling
  Populations, Samples, Parameters, and Statistics
  Sampling Distributions
  Random and Systematic Error
  Central Limit Theorem
  Properties of the Normal Curve
  Normal Approximation to the Binomial
Chapter 6 - Principles of Testing
  Stating Hypotheses
  The Test Statistic
  One- and Two-tailed Tests
  Type I and II Errors
  Point Estimates and Confidence Intervals
  Estimating a Difference Score
  Univariate Tests: An Overview
Chapter 7 - Univariate Inferential Tests 
  One-sample z-test
    Confidence interval for population mean using z
    Choosing a sample size
  One-sample t-test
    Confidence interval for population mean using t
  Two-sample z-test for Comparing Two Means
  Two-sample t-test for Comparing Two Means
    Confidence interval for comparing two means
    Pooled variance method
  Paired Difference t-test 
  Test for a Single Population Proportion
    Confidence interval for a single population proportion
    Choosing a sample size 
  Test for Comparing Two Proportions
    Confidence interval for comparing two proportions
Chapter 8 - Bivariate Relationships
    Finding the significance of r
    The coefficient of determination
  Simple Linear Regression
    Confidence interval for the slope
    Confidence interval for prediction
    Assumptions and cautions
  Chi-Square (χ2)