explain how to detect assignable causes of variation using histogram
Assinable causes of variation in the histogram are are the possible chances of the data set to be skewed or having error.
For a histogram, to detect the assinable causes, look at the height of the bars in histogram.
Possible cases where we can detect assinable causes
(A) when the height of bars is taller on left side of histogram as compared to middle bars
(B) when the height of bars is taller on right side of histogram as compared to middle bars
(C) when the height of bars is taller on both side of histogram as compared to middle bars
So, if any of these case occurs, then we can detect assinable causes of variation.
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