Applied Statistics
A First Course in Inference
Published on 21. November 1997
Book
Hardback
425 pages
978-0-13-621467-0 (ISBN)
Description
For an undergraduate-level first course in Applied Statistics that emphasizes statistical inference.
Unique in approach, this practical introduction to statistical inference 1) uses only college algebra, 2) gets into inference within the first 10 pages using popular examples that students encounter every day in newspapers and on television, and 3) emphasizes and covers statistical inference for population proportions in much greater depth than other texts at this level. It features an abundance of examples, problems, and clear computational procedures, and provides a brief introduction to Minitab - with sample data, (on disk) commands, macros (on disk), and printed output.
Unique in approach, this practical introduction to statistical inference 1) uses only college algebra, 2) gets into inference within the first 10 pages using popular examples that students encounter every day in newspapers and on television, and 3) emphasizes and covers statistical inference for population proportions in much greater depth than other texts at this level. It features an abundance of examples, problems, and clear computational procedures, and provides a brief introduction to Minitab - with sample data, (on disk) commands, macros (on disk), and printed output.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Width: 260 mm
Thickness: 22 mm
Weight
1104 gr
ISBN-13
978-0-13-621467-0 (9780136214670)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Graybill
Statistical Methods D/D
Software
09/1997
Pearson Education (US)
€9.70
Article exhausted; check for reprint
Content
1. Data and Statistical Methods.
2. Populations, Variables, Parameters, Samples.
3. Confidence Intervals for a Population Proportion.
4. Processing Data.
5. Median and Interquartile Range; Mean and Standard Deviation.
6. The Normal Populations.
7. Inference for a Population Mean and Median for any Population.
8. Statistical Tests.
9. Simple Linear Regression.
Interlude. Critical Assessment of Statistical Studies.
10. Comparing Population Properties; Contingency Tables.
11. Comparing Population Means.
12. Multiple Regression.
13. Process Improvement.
14. Sample Surveys.
Appendix A: Answers to Odd-Numbered Exercises.
Appendix B: Calculus Scores Data.
Appendix C: A Brief Introduction to Minitab.
Index.
2. Populations, Variables, Parameters, Samples.
3. Confidence Intervals for a Population Proportion.
4. Processing Data.
5. Median and Interquartile Range; Mean and Standard Deviation.
6. The Normal Populations.
7. Inference for a Population Mean and Median for any Population.
8. Statistical Tests.
9. Simple Linear Regression.
Interlude. Critical Assessment of Statistical Studies.
10. Comparing Population Properties; Contingency Tables.
11. Comparing Population Means.
12. Multiple Regression.
13. Process Improvement.
14. Sample Surveys.
Appendix A: Answers to Odd-Numbered Exercises.
Appendix B: Calculus Scores Data.
Appendix C: A Brief Introduction to Minitab.
Index.