Determine whether the sampling method described below appears to be sound or is flawed.In a survey of 779 subjects, the following question was posted on a newspaper's website: "In your view, are nuclear plants safe?" The survey subjects were Internet users who chose to respond to the question posted on the electronic edition of thenewspaper.-..--Choose the correct answer below.O A. It is flawed because it is a voluntary response sample.B. It is flawed because it is not statistically significant.C. It is flawed because it is a census.O D. It appears to be sound because the data are not biased in any way.

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Description: Determine whether the sampling method described below appears to be sound or is flawed.In a survey of 779 subjects, the following question was posted on a newspaper's website: "In your view, are nuclear plants safe?" The survey subjects were Interne

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termine whether the sampling method described below appears to be s a survey of 779 subjects, the following question was posted on a newsp vspaper. oose the correct answer below. A. It is flawed because it is a voluntary response sample. B. It is flawed because it is not statistically significant. C. I t is flawed because it is a census. D. It appears to be sound because the data are not biased in any way

termine whether the sampling method described below appears to be s a survey of 779 subjects, the following question was posted on a newsp vspaper. oose the correct answer below. A. It is flawed because it is a voluntary response sample. B. It is flawed because it is not statistically significant. C. I t is flawed because it is a census. D. It appears to be sound because the data are not biased in any way

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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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 parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

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