William Mendenhall,
Robert Beaver,
Barbara Beaver,
Larry Musolino
e.a.
Introduction to Probability and Statistics
Gebonden Engels 2026 16e druk 9798214409436Levertijd ongeveer 8 werkdagen
Gratis verzonden
Samenvatting
The skill of statistical thinking is increasingly important in today’s predominantly data-driven world. With Mendenhall/Musolino/Beaver’s "Introduction to Probability and Statistics," 16th Edition, you will be able to describe and analyze real world data sets in an efficient and comprehensive way. Revisions to the text offer improved clarity and opportunities to use R for statistical analysis. Activities in WebAssign are designed to engage students, explore data with technology and develop conceptual understanding. WebAssign’s Statistical Analysis and Learning Tool (SALT) is an easy-to-use data analysis tool that integrates with textbook problems.
Specificaties
ISBN13:9798214409436
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:784
Uitgever:Cengage Learning, Inc
Druk:16
Lezersrecensies
Wees de eerste die een lezersrecensie schrijft!
Inhoudsopgave
1. Describing Data with Graphs.
2. Describing Data with Numerical Measures.
3. Describing Bivariate Data.
4. Probability.
5. Discrete Probability Distributions.
6. The Normal Probability Distribution.
7. Sampling Distributions.
8. Large-Sample Estimation.
9. Large-Sample Tests of Hypotheses.
10. Inference from Small Samples.
11. The Analysis of Variance.
12. Simple Linear Regression and Correlation.
13. Multiple Linear Regression Analysis.
14. Analysis of Categorical Data.
15. Nonparametric Statistics.
Appendix I: Tables. Answers to Selected Exercises [DD1].
2. Describing Data with Numerical Measures.
3. Describing Bivariate Data.
4. Probability.
5. Discrete Probability Distributions.
6. The Normal Probability Distribution.
7. Sampling Distributions.
8. Large-Sample Estimation.
9. Large-Sample Tests of Hypotheses.
10. Inference from Small Samples.
11. The Analysis of Variance.
12. Simple Linear Regression and Correlation.
13. Multiple Linear Regression Analysis.
14. Analysis of Categorical Data.
15. Nonparametric Statistics.
Appendix I: Tables. Answers to Selected Exercises [DD1].
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