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Introduction to Probability and Statistics Metric Edition 15th Edition

Name: Introduction to Probability and Statistics Metric Edition 15th Edition
SKU: EB-23616388
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Introduction to Probability and Statistics – Metric Version, 15e 15th Edition William Mendenhall Digital Instant Download

Author(s): William Mendenhall, Barbara M. Beaver, Robert J. Beaver

ISBN(s): 9780357121474, 0357121473

Edition: 15th

File Details: PDF, 39.29 MB

Year: 2020

Language: English

SKU: EB-23616388 Category: Mathematics - Probability Tags: Barbara M. Beaver, Robert J. Beaver, Statistics Metric, William Mendenhall

Description

Introduction to Probability and Statistics – Metric Version, 15e – Ebook Instant Download/Delivery ISBN(s): 9780357121474,0357121473

Product details:

ISBN 10: 0357121473
ISBN 13: 9780357121474
Author:William Mendenhall; Robert J. Beaver; Barbara M. Beaver

Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, 15th Edition, Metric Edition gives you a solid understanding of statistical concepts–and their relevance to your everyday life. The new edition combines straightforward explanations with integrated modern technology–including computational software and graphing calculators–to help you master statistical reasoning and skillfully interpret statistical results. Learn how to describe real sets of data, what statistical tests mean in terms of practical application, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Statistics can be an intimidating course, but this text reinforces a common-sense approach to statistical descriptions and procedures and equips you with a firm foundation in statistical concepts and the tools to apply them to the world around you.

Table contents:

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.

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