Pearson eText for Statistical Reasoning for Everyday Life -- Instant Access (Pearson+)

5th Edition

ISBN: 9780137561544

Author: Jeffrey Bennett, William Briggs

Publisher: PEARSON+

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative p…

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Chapter 1.2, Problem 33E

Sampling Methods. In Exercises 23–38, identify which of the following applies: simple random sample, systematic sample, convenience sample, stratified sample, or cluster sample. In each case, state whether you think the procedure is likely to yield a representative sample or a biased sample, and explain why.

33. Market Research. A market researcher surveys 50 randomly selected drivers from each state and obtains the amount that they paid for a gallon of gas at their most recent purchase.

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Chapter 1.2, Problem 32E

Chapter 1.2, Problem 34E

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Chapter 1 Solutions

Pearson eText for Statistical Reasoning for Everyday Life -- Instant Access (Pearson+)

Ch. 1.1 - Prob. 1E Ch. 1.1 - Basic Definitions. Define the terms population,...Ch. 1.1 - Confidence Interval. What is a margin of error,...Ch. 1.1 - Statistical Process. Describe the five basic steps...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...

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Solution Summary: The author explains the sampling procedure, including simple random sampling, systematic sampling and stratified sampling.

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