Discovering Business Statistics, Second Edition

Technology Instructions

What follows are step-by-step instructions for using various types of technology to evaluate statistical concepts.

Chapters

Chapter 2: Data, Big Data, and Analytics

Chapter 3: Organizing, Displaying, and Interpreting Data

Chapter 4: Numerical Descriptive Statistics

Chapter 5: Probability, Randomness and Uncertainty

Chapter 6: Discrete Probability Distributions: About the Future

Chapter 7: Continuous Random Variables

Chapter 8: Samples and Sampling Distributions

Chapter 9: Estimation with Confidence Intervals: Single Sample

Chapter 10: Hypothesis Testing: Single Sample

Chapter 11: Inferences about Two Samples

Chapter 12: Analysis of Variance (ANOVA)

Chapter 13: Regression, Inference, and Model Building

Chapter 14: Multiple Regression

  • 14.1: The Multiple Regression Model
  • 14.2: The Coefficient of Determination and Adjusted R2
  • 14.3: Inference Concerning the Multiple Regression Model and Its Coefficients
  • 14.4: Inference Concerning the Model's Prediction
  • 14.5: Models with Qualitative Independent Variables

Chapter 15: Time Series Analysis and Forecasting

  • 15.1: Time Series Components
  • 15.2: Moving Averages
  • 15.3: Exponential Smoothing Techniques
  • 15.4: Forecast Accuracy
    • Time Series > Mean Absolute Deviation 
      Excel | JMP
    • Time Series > Mean Absolute Percentage Error 
      Excel
    • Time Series > Mean Squared Error 
      Excel

Chapter 16: Looking for Relationships in Qualitative Data

Chapter 17: Nonparametric Statistics

  • 17.1: The Sign Test
  • 17.2: The Wilcoxon Signed Rank Test
  • 17.3: The Wilcoxon Rank-Sum Test
  • 17.4: The Rank Correlation Test
  • 17.5: The Runs Test for Randomness
    • Nonparametrics > Runs Test for Randomness 
      MinitabⓇ
  • 17.6: The Kruskal-Wallis Test

Chapter 18: Statistical Process Control