In a normal distribution, a data value located 1 standard deviations below the mean has Standard Score: z= In a normal distribution, a data value located 2.2 standard deviations above the mean has Standard Score: z= In a normal distribution, the mean has Standard Score:z=

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In a normal distribution, a data value located 1 standard deviations below the mean has Standard Score: z=   In a normal distribution, a data value located 2.2 standard deviations above the mean has Standard Score: z=   In a normal distribution, the mean has Standard Score:z=

Ian Adams · Accepted Answer

z=x−μσ&amp;nbsp;.1. The z-score indicates how many standard deviations above or below the mean a raw score or data item falls. The z-numerical score&#039;s value indicates the departure of the data value from the mean in units of standard deviations, and the z-sign score&#039;s indicates the direction with regard to the mean. The z-score is positive if the data value is greater than the mean. The z-score is negative if the data value is below the mean.The data value in this case is said to be one standard deviation from the mean.The phrase &quot;1 standard deviation&quot; denotes that the z-value score&#039;s must be 1, whereas the phrase &quot;below&quot; denotes that its sign must be negative.b. The data value is said to be&amp;nbsp;2.2&amp;nbsp;standard deviations above the mean.The required&amp;nbsp;z-score is&amp;nbsp;2.2.c.&amp;nbsp;z=x-μσ=μ-μσ=0σ=0.The required&amp;nbsp;z-score for the mean is&amp;nbsp;0.

In a normal distribution, a data value located 1 standard deviations below the mean and a data value located 2.2 standard deviations above the mean have Standard Score: z =

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