A summary of this work on biases, averaging, graphs, figures and their abuse.
Written in 1993; 1,575 words; 2 sources; $ 55.95
From the Paper:
"The purpose of this research is to examine the nonfiction book How to Lie with Statistics by Darrell Huff. The plan of the research will be to set forth the main ideas of the book as a chapter-by-chapter summary of the important ideas, including examples of misleading uses of statistics of the type presented.
The Sample with the Built-In Bias. Statistical measurement begins with assembling a credible sample of respondents on which to base conclusions that can be generalized from the sample to the population. There are two factors to consider: whether the respondents are truly representative of what is being measured, and whether the respondents tell the truth when they are asked questions. Both features of a sample may contribute to bias in the reporting of information. Huff cites a survey in which voters in 1936 were asked over the phone predict election ..."
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