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NEW CHAPTER

Chapter 15: Time Series 

• 15.1 Time Series Components
• 15.2 Moving Averages
• 15.3 Exponential Smoothing Techniques
• 15.4 Forecast Accuracy
• 15.5 Seasonality

NEW LESSONS

• 2.2 Data, Big Data, and Analytics
• 3.5 Analyzing Graphs
• 7.3 Assessing Normality Graphically
• 9.4 Estimating the Population Standard Deviation or Variance
• 11.5 Comparing Two Population Variances
• 12.5 Multiple Comparison Procedures
• 13.2 Residual Analysis

HYPOTHESIS TESTING UPDATES

Chapters 11 & 12:

• Now use a null hypothesis with strict equality
• Conclusions are drawn using both rejection regions and p-values for all examples

FOCUS ON REAL-WORLD APPLICATIONS

12 new and 5 updated applications are included in the textbook and software Learn screens

• Relevant and engaging examples include the COVID-19 pandemic and smartphone screen-time data
• Contemporary datasets integrated throughout the text

INTEGRATED TECHNOLOGY INSTRUCTIONS

• Provide detailed instruction using graphing calculators, Excel, Minitab, R Statistical language, JMP, SPSS, and more
• Technology screenshots illustrate the expected output from analysis

ENHANCED EXAMPLES

• Updated examples to increase equity and inclusivity for students

EXPANDED EXERCISE SETS

• 450 new software questions  (including 363 business application questions)
• 205 new textbook questions

CHAPTER DISCOVERY PROJECTS

• Projects to help students draw connections to today’s world

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