Third Quartile Z Score. Given mean X and standard deviation σ for P if P is normally distributed the first quartile. Jul 26 2010 The third quartile denoted by Q3 is the median of the upper half of the data set.
363 z x x s 363 3875 3401 072 If a data value is larger than the mean the z-score is positive. Between 251 and 50 up to the median Third quartile. With a Mean of 100 and a Standard Deviation of 15.
Quartiles It is readily calculated that for the standard normal distribution the first quartile is -67 using 2514 for 25 and the third quartile is 67.
The 3 types of quartiles are. P 100 n 5075 375 38 and Q 3 75 n 5025 125 P 100 Interquartile Range The interquartile range IQR is essentially the middle 50 of the data set IQR Q 3 - Q 1 Using the applicant data the IQR is. Next you subtract 1- and enter this into your Inverse Norm along with your Mean and standard deviation. 363 z x x s 363 3875 3401 072 If a data value is larger than the mean the z-score is positive.
