Question

Which is more likely to lead to poor ethical decisions…misuse or misunderstanding of statistics, or improper definition or measurement of variables?

Answer 1

Solutions Misuss or Misunderstanding of statistics, or improper definition or measurement of Variables are lead to poor ethical decisions + statistics are supported to make something easier to understand but when used in a misleading fashion com trick the casual observer into believing something other than what the data shows. That is, a muisuss of statistics Occurs when a statistical argument asserts a falsehood. d misuss may be * In accidental e some cases, the * In others, it is painful and for the gain of the perpetrator * When the statistical reason involved is false or misapplied, this constitutes a statistical falla Example In medical science, correcting a falsehood may take decade and cost thes. * Misuses, can be easy to fall into profesional Scientists, even mathermatician and statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistice, due to lack of knowledge of probability theory and lack

of standardization of their tests. Main Reasons for the above Mibuss or misunderstanding of statistics : * Errors in statistical design. * Errors in description and presentation of data. * Appropriate treatment of outliers. Stop Data transformation and testing for normality. * faulty polling. * flawed correlations Data fishing. * Miskading data Visualizatim k a liteten * Purposeful Bias.