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The Practice of Social Research (M...

14th Edition
Earl R. Babbie
ISBN: 9781305104945

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BuyFindarrow_forward

The Practice of Social Research (M...

14th Edition
Earl R. Babbie
ISBN: 9781305104945
Textbook Problem

In your own words, explain the logic of proportionate reduction of error (PRE) measures of associations.

Summary Introduction

Introduction:

Proportionate reduction of error is a model used to measure how much knowledge about one variable may help people estimate the value of another variable. For example, would knowing the gender of a younger driver make it easier to estimate how much that driver pays for auto insurance?

Explanation

Answer and explanation:

(This question calls for a subjective answer. This is an example of an appropriate response.)

Proportionate reduction of error is a model for measuring the strength of a relationship by determining whether having more information about one variable would make it easier to guess or estimate the other variable. For example, knowing the gender of a 19 year old driver in the United States would make it easier to estimate how much that person pays for auto insurance. Since males typically take more chances while driving, a 19 year old man will be charged a higher rate for auto insurance than a woman of the same age.

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