How To Lie With Statistics
โ Darrell Huff; Irving Geis
๐ Library
๐
1954
๐ Northon & Co
๐ English
โฆ LIBER โฆ
๐
How to lie with statistics or How to extract data from information
โ Scribed by WLODZIMIERZ KLONOWSKI
- Tongue
- English
- Leaves
- 12
- Category
- Library
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No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
How to Lie with Statistics
โ Darrell Huff
๐ Library
๐
1993
๐ W. W. Norton & Company
๐ English
Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.
How to Lie with Statistics
โ Darrell Huff
๐ Library
๐
1993
๐ W. W. Norton & Company
๐ English
Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.
How to Lie with Statistics
โ Darrell Huff
๐ Library
๐
1993
๐ W. W. Norton & Company
๐ English
Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.
How to Lie with Statistics
โ Darrell Huff, Irving Geis
๐ Library
๐
1993
๐ W. W. Norton & Company
๐ English
<p><strong>Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way results are derived from the figures, and points up the countless number of dodges which are used to fool rather than t
How to Lie with Statistics
โ Darrell Huff
๐ Library
๐
1993
๐ W. W. Norton
๐ English
<p>From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff's lively and engaging primer clarifies the basic principles of statist