MyLab Statistics with Pearson eText Access Code (24 Months) for Statistics for Business

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Robert A. Stine, Dean Foster

MyLab Statistics with Pearson eText Access Code (24 Months) for Statistics for Business

Decision Making and Analysis

Onbekend Engels 2017 9780134748641

€ 172,54

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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.

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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.

Specificaties

ISBN13:9780134748641

Taal:Engels

Bindwijze:onbekend

Uitgever:Pearson Education

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Inhoudsopgave

<div class="c-section-headers-number-list_container"> <h3>I. Variation</h3> <ol> <li>Introduction</li> <li>Data</li> <li>Describing Categorical Data</li> <li>Describing Numerical Data</li> <li>Association Between Categorical Variables</li> <li>Association Between Quantitative Variables</li> </ol> <h3>II. Probability</h3> <ol start="7"> <li>Probability</li> <li>Conditional Probability</li> <li>Random Variables</li> <li>Association Between Random Variables</li> <li>Probability Models for Counts</li> <li>The Normal Probability Model</li> </ol> <h3>III. Inference</h3> <ol start="13"> <li>Samples and Surveys</li> <li>Sampling Variation and Quality</li> <li>Confidence Intervals</li> <li>Statistical Tests</li> <li>Comparison</li> <li>Inference for Counts</li> </ol> <h3>IV. Regression Models</h3> <ol start="19"> <li>Linear Patterns</li> <li>Curved Patterns</li> <li>The Simple Regression Model</li> <li>Regression Diagnostics</li> <li>Multiple Regression</li> <li>Building Regression Models</li> <li>Categorical Explanatory Variables</li> <li>Analysis of Variance</li> <li>Time Series</li> </ol> <h4 class="h5">Supplementary Material (Online-Only)</h4> <h4 class="h5">Alternative Approaches to Inference</h4> <h4 class="h5">Two-Way Analysis of Variance</h4> <h4 class="h5">Regression with Big Data</h4> </div>

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