Excel 2019 in Applied Statistics for High School Students A Guide to Solving Practical Problems 2nd Edition by Thomas J. Quirk 9783030392611 3030392619

Excel 2019 in Applied Statistics for High School Students A Guide to Solving Practical Problems 2nd Edition Thomas J. Quirk – Ebook Instant Download/Delivery ISBN(s): 9783030667566,3030667561, 9783030392611, 3030392619

Product details:

• ISBN 10: 3030392619
• ISBN 13: 9783030392611 
• Author: Thomas J. Quirk

Newly revised to specifically provide demonstration in Excel 2019, this volume shows the capabilities of Microsoft Excel in business statistics. Similar to its predecessor, Excel 2016 for Business Statistics, it is a step-by-step, exercise-driven guide for students and practitioners who are looking to master Excel to solve practical business problems. Excel, a widely available computer program for students and professionals, is also an effective teaching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Business Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.Each chapter explains statistical formulas and directs the reader to use Excel commands tosolve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. This new edition offers a wealth of new sample problems, as well as updated chapter content throughout.

Table contents:

1. Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
2. Random Number Generator
3. Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing
4. One-Group t-Test for the Mean
5. Two-Group t-Test of the Difference of the Means for Independent Groups
6. Correlation and Simple Linear Regression
7. Multiple Correlation and Multiple Regression
8. One-Way Analysis of Variance (ANOVA)

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