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WebAssign for Diez/Barr/Cetinkaya-Rundel's OpenIntro Statistics, Single-Term Instant Access, 4th Edition

David M. Diez, Christopher D. Barr, Mine Cetinkaya-Rundel

  • Copyright 2022
  • {{checkPublicationMessage('Published', '2021-01-01T00:00:00+0000')}}
Starting At $99.95 See pricing and ISBN options
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WebAssign for Diez/Barr/Cetinkaya-Rundel's OpenIntro Statistics, Single-Term Instant Access 4th Edition by David M. Diez/Christopher D. Barr/Mine Cetinkaya-Rundel
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Overview

WebAssign is an OpenIntro Ally, joining the mission to improve access to affordable educational materials. With WebAssign for Diez/Barr/Cetinkaya-Rundel’s OpenIntro Statistics, 4th Edition, you have access to powerful tools that enable you to deploy assignments, instantly assess individual student and class performance, and help your students master the course concepts.

Enrich the teaching and learning experience with the affordable content from Diez/Barr/Cetinkaya-Rundel’s OpenIntro Statistics, within the powerful digital platform of WebAssign. Tailor your course with a wide range of assignment settings, the ability to add your own questions and content, analytics at the individual and course level and student/teacher communication tools.

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Meet the Authors

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David M. Diez

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Christopher D. Barr

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Mine Cetinkaya-Rundel

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What's New

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  • NEW "BY THE BOOK" ASSIGNMENTS ENABLE VARIED PRACTICE: The online resources within WEBASSIGN are designed to elevate the superior content and pedagogy of the statistical textbook. WEBASSIGN offers algorithmically-generated assignments, based on end-of-section questions directly from the book.
  • REAL STASTITICAL ANALYSIS LABS OFFER HANDS-ON APPLICATIONS: Your students can perform actual statistical analysis in class or online with premade and module-specific Stats Labs. You can require your students to use the data analysis tool to analyze a real data set. This pulls together knowledge learned from the module and previous material to facilitate whole-picture learning.

Features

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  • STUDENTS CAN ENTER DIVERSE ANSWERS: WEBASSIGN's flexible and powerful answer evaluator accepts diverse interpretations so your students are not penalized for entering a mathematically equivalent or differently formatted answer.
  • POWERFUL ANALYTICS LET YOU EASILY ASSESS PERFORMANCE: With the powerful analytics tools built into WEBASSIGN, you can evaluate overall class performance, determine concept mastery and identify at-risk students.

Table of Contents

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1. INTRODUCTION TO DATA.
Case Study: Using Stents to Prevent Strokes. Data Basics. Sampling Principles and Strategies. Experiments.
2. SUMMARIZING DATA.
Examining Numerical Data. Considering Categorical Data. Case Study: Malaria Vaccine.
3. PROBABILITY.
Defining Probability. Conditional Probability. Sampling from a Small Population. Random Variables.
Continuous Distributions.
4. DISTRIBUTIONS OF RANDOM VARIABLES.
Normal Distribution. Geometric Distribution. Binomial Distribution. Random Variables. Continuous Distributions.
5. FOUNDATIONS FOR INFERENCE.
Point Estimates and Sampling Variability. Confidence Intervals for a Proportion. Hypothesis Testing for a Proportion.
6. INFERENCE FOR CATEGORICAL DATA.
Inference for a Single Proportion. Difference of Two Proportions. Testing for Goodness of Fit Using Chi-Square. Testing for Independence in Two-Way Tables.
7. INFERENCE FOR NUMERICAL DATA.
One-Sample Means with the T-Distribution. Paired Data. Difference of Two Means. Power Calculations for a Difference of Means. Comparing Many Means with ANOVA.
Chapter 8: INTRODUCTION TO LINEAR REGRESSION.
Fitting a Line, Residuals, And Correlation. Least Squares Regression. Types of Outliers in Linear Regression. Inference for Linear Regression.
9: MULTIPLE AND LOGISTIC REGRESSION.
Introduction to Multiple Regression. Model Selection. Checking Model Assumptions Using Graphs. Multiple Regression Case Study: Mario Kart. Introduction to Logistic Regression.

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Each WebAssign online product offers the full textbook combined with a flexible and fully customizable online instructional assignments and tools.

Cengage provides a seamless user experience for Learning Management Systems (LMS) integration. Please contact your Cengage Learning Consultant for ordering information and visit our Learning Management System Integration web page on WebAssign for general information.

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  • ISBN-10: 0357628144
  • ISBN-13: 9780357628140
  • RETAIL $99.95
Instructor Next Steps
Students: Buy now