How can social scientists make elementary mistakes with probability yet continue to thrive professionally? - AnalyticBridge2020-09-25T17:41:52Zhttps://www.analyticbridge.datasciencecentral.com/forum/topics/how-can-social-scientists-make-elementary-mistakes-with?feed=yes&xn_auth=noStandard deviation is dangero…tag:www.analyticbridge.datasciencecentral.com,2014-01-17:2004291:Comment:2859962014-01-17T18:20:39.554ZMichael Claytonhttps://www.analyticbridge.datasciencecentral.com/profile/MichaelClayton
<p>Standard deviation is dangerous with outliers, as is the mean.</p>
<p>It simply measures the SPREAD of the data, but so do other methods and GRAPHS ARE BEST (The outlier boxplot for example). </p>
<p>So most of my work involves robust statistics, like MEDIAN and QUARTILES or IQR (the inter-quartile range which is simply the 75% - 25% range of the data...as seen in the BOX of the boxplot, which works well with data that has outliers, but shows the spread of the "middle half" of the…</p>
<p>Standard deviation is dangerous with outliers, as is the mean.</p>
<p>It simply measures the SPREAD of the data, but so do other methods and GRAPHS ARE BEST (The outlier boxplot for example). </p>
<p>So most of my work involves robust statistics, like MEDIAN and QUARTILES or IQR (the inter-quartile range which is simply the 75% - 25% range of the data...as seen in the BOX of the boxplot, which works well with data that has outliers, but shows the spread of the "middle half" of the data.</p>
<p>So yes, I could survive without the stdev for most work, and I am an engineer, but perhaps in same position as "social scientists" as far as lacking a PhD in Statistics, but slightly saner than much of the media in use of data. </p>