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In the earlier lessons, you learned about measures of
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central tendency and measures of spread.
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As a business analyst,
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you should make sure to apply these statistical tools as
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you generate and examine the data using business metrics.
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A business metric is one data point that in
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itself does not tell much about the larger context.
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Much like other things in life,
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data makes more sense and has more value if it is looked at within a context.
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So, as a business analyst,
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your data analysis process should include
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exploratory checks to examine the spread of the data.
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You should always be asking and checking to see if the data is spread out equally in
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each direction and to see if the shape of
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the distribution resembles a normal distribution or not.
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This is important, because you need to know if
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what you're seeing is expected or out of the ordinary.
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In the previous lesson,
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we talked about skewness and we come back to it in this lesson.
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The box plot or histogram as you may
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remember are useful tools that tell you about skewness.
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They can alert you to any skewness in the data.
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Another way to check for skewness is to compare the mean
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and median values to see if they are more or less the same.
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Creating visualizations to look at data distributions and computing
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multiple summary statistics like mean and
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median should be a reflexive habit of a business analyst.
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Let's look at an example to understand why this is important.
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