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
Want a complimentary examination copy? Request one today by emailing info@hawkeslearning.com!
Questions? Contact us.
Recent posts