MyLab Statistics with Pearson eText Access Code (24 Months) for Statistics for Business: Decision Making and Analysis

Author:   Robert Stine ,  Dean Foster ,  Dean Foster ,  Dean Foster
Publisher:   Pearson Education (US)
Edition:   3rd edition
ISBN:  

9780134748641


Pages:   9998
Publication Date:   07 June 2017
Format:   Undefined
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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MyLab Statistics with Pearson eText Access Code (24 Months) for Statistics for Business: Decision Making and Analysis


Overview

MyLab Statistics for Business Stats Standalone Access Card to accompany Stine/Foster, Statistics for Business: Decision Making and Analysis, 3/e This item is an access card for MyLab™ Statistics. This physical access card includes an access code for your MyLab Statistics course. In order to access the online course you will also need a Course ID, provided by your instructor.   This title-specific access card provides access to the Stine/Foster, Statistics for Business: Decision Making and Analysis, 3/e accompanying MyLab course ONLY.   0134748646 / 9780134748641 MyLab Statistics for Business Stats with Pearson eText - Standalone Access Card - For Statistics for Business: Decision Making and Analysis, 3/e MyLab Statistics is the world’s leading online tutorial, and assessment program designed to help you learn and succeed in your statistics course. MyLab Statistics online courses are created to accompany one of Pearson’s best-selling statistics textbooks. Every MyLab Statistics course includes a complete, interactive eText.   ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN.   Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code. Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase.

Full Product Details

Author:   Robert Stine ,  Dean Foster ,  Dean Foster ,  Dean Foster
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   3rd edition
Dimensions:   Width: 14.70cm , Height: 0.10cm , Length: 22.60cm
Weight:   0.022kg
ISBN:  

9780134748641


ISBN 10:   0134748646
Pages:   9998
Publication Date:   07 June 2017
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Brief Contents I. Variation Introduction Data Describing Categorical Data Describing Numerical Data Association Between Categorical Variables Association Between Quantitative Variables II. Probability Probability Conditional Probability Random Variables Association Between Random Variables Probability Models for Counts The Normal Probability Model III. Inference Samples and Surveys Sampling Variation and Quality Confidence Intervals Statistical Tests Comparison Inference for Counts IV. Regression Models Linear Patterns Curved Patterns The Simple Regression Model Regression Diagnostics Multiple Regression Building Regression Models Categorical Explanatory Variables Analysis of Variance Time Series Supplementary Material (Online-Only) Alternative Approaches to Inference Two-Way Analysis of Variance Regression with Big Data

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Author Information

Robert Stine holds a Ph.D. from Princeton University. He has taught at the Wharton School since 1983, during which time he has regularly taught business  statistics. During his tenure, Bob has received a variety of teaching awards, including regularly winning the MBA Core Teaching Award, which is presented to faculty for outstanding teaching of the required curriculum at Wharton. He also received the David W. Hauck Award for Outstanding Teaching, awarded to the most highly rated faculty member teaching in the Wharton undergraduate program. Bob actively consults for industry. His clients include the pharmaceutical firms Merck and Pfizer, and he regularly works with the Federal Reserve Bank of Philadelphia on models for retail credit risk. This collaboration has produced three well-received conferences held at Wharton. His areas of research include computer software, time series analysis and forecasting, and general problems related to model identification and selection. Bob has published numerous articles in research journals, including the Journal of the American Statistical Association, Journal of the Royal Statistical Society, Biometrika, and The Annals of Statistics.   Dean Foster holds a Ph.D. from the University of Maryland. He has taught at the Wharton School since 1992 and previously taught at the University of Chicago. Dean teaches courses in introductory business statistics, probability and  Markov chains, statistical computing and advanced statistics for managers. Dean’s research areas are statistical inference for stochastic processes, game theory, machine learning, and variable selection. He is published in a wide variety of journals, including The Annals of Statistics, Operations Research, Games and Economic Behaviour, Journal of Theoretical Population Biology, and Econometrica.

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