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WebAssign with Corequisite Support for Peck/Case's Statistics: Learning from Data, Single-Term Instant Access

By Roxy Peck, Catherine Case

3rd Edition © 2024
Discipline:Statistics
Course:Intro Probability & Statistics
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Accelerate your students’ journeys to success with WEBASSIGN WITH COREQUISITE SUPPORT FOR PECK/CASE'S STATISTICS: LEARNING FROM DATA, 3rd Edition. This online learning solution provides the flexibility to match any corequisite implementation model while providing valuable remediation for students. Use prebuilt homework and prerequisite course packs to save time or customize content with your own notes or questions. Individual student and course analytics keep you informed of progress. WebAssign digital resources provide the same emphasis on problem solving with clear explanations and excellent application problems that set the printed version of this text apart. Practical topics, such as finances, and voting, emphasize the relevance of concepts. Students work with graphing utilities, functions, modeling, real data and projects as they master and apply basics statistics. This affordable solution helps students develop the understanding of statistics needed for college and career success.

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About this product

Accelerate your students’ journeys to success with WEBASSIGN WITH COREQUISITE SUPPORT FOR PECK/CASE'S STATISTICS: LEARNING FROM DATA, 3rd Edition. This online learning solution provides the flexibility to match any corequisite implementation model while providing valuable remediation for students. Use prebuilt homework and prerequisite course packs to save time or customize content with your own notes or questions. Individual student and course analytics keep you informed of progress. WebAssign digital resources provide the same emphasis on problem solving with clear explanations and excellent application problems that set the printed version of this text apart. Practical topics, such as finances, and voting, emphasize the relevance of concepts. Students work with graphing utilities, functions, modeling, real data and projects as they master and apply basics statistics. This affordable solution helps students develop the understanding of statistics needed for college and career success.

WEBASSIGN OFFERS FLEXIBILITY AT EVERY STEP: You determine the unique learning path based upon the individual student's mastery of prerequisite content with conditional release. You are able to easily customize the learning experience to meet any learning style. Specialized content is specifically designed to strengthen problem solving and critical-thinking skills.

WEBASSIGN DELIVERS THE RIGHT CONTENT AT THE RIGHT TIME: Time-tested, expertly designed content across the corequisite course spectrum fuels deeper learning for all learning styles. Easy course setup simplifies access to all materials in one place. Key resources include two eTextbooks, downloadable worksheets, lecture videos, prerequisite remediation and assignments for both credit and prerequisite coursework.

WEBASSIGN IMPROVES AFFORDABILITY WITH ACCESS TO ALL MATERIALS FOR ONE PRICE: Students no longer have to purchase multiple course materials -- everything is in one place for one low price. Corequisite solutions include resources for both the prerequisite and credit course, including two eTextbooks as well as assignments and resources for both paths, all for one price. Students may also choose to subscribe to Cengage Unlimited to access all Cengage courses and textbooks online.

THIS WEBASSIGN EDITION FOLLOWS A PROVEN MODELING APPROACH: Content emphasizes diverse modeling with an emphasis on real-life applications, such as finances and voting. Practical examples and data engage students and reveal statistics as an integral part of nature, science and society. Learners work with graphing utilities, functions, modeling, real data and projects as they master and apply the basics of statistics.

Table of contents

Chapters

Section I: COLLECTING DATA.
1. Collecting Data in Reasonable Ways.
Section II: DESCRIBING DATA DISTRIBUTIONS.
2. Graphical Methods for Describing Data Distributions.
3. Numerical Methods for Describing Data Distributions.
4. Describing Bivariate Numerical Data.
Section III: A FOUNDATION FOR INFERENCE: REASONING ABOUT PROBABILITY.
5. Probability.
6. Random Variables and Probability Distributions.
Section IV: LEARNING FROM SAMPLE DATA.
7. An Overview of Statistical Inference -- Learning from Data.
8. Sampling Variability and Sampling Distributions.
9. Estimating a Population Proportion.
10. Asking and Answering Questions about a Population Proportion.
11. Asking and Answering Questions about the Difference between Two Population Proportions.
12. Asking and Answering Questions about a Population Mean.
13. Asking and Answering Questions about the Difference between Two Population Means.
Section V: ADDITIONAL OPPORTUNITIES TO LEARN FROM DATA.
14. Learning from Categorical Data.
15. Understanding Relationships--Numerical Data Part 2 (Online).
16. Asking and Answering Questions about More Than Two Means (Online).
Appendix: ANOVA Computations.
Show more

1. Collecting Data in Reasonable Ways.

Statistics: It’s All About Variability.
Statistical Studies: Observation and Experimentation.
Collecting Data: Planning an Observational Study.
Collecting Data: Planning an Experiment.
The Importance of Random Selection and Random Assignment: What Types of Conclusions Are Reasonable?
Avoid These Common Mistakes.
Chapter Activities.
Explorations in Statistical Thinking.

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ISBN-13: 9798214002835
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