Man withoutliers in data setsan outlier is a data point that is significantly different numorically fromin a sample. moroni numerically from the other data ports•examine the data set and pick out potential outllers.•.arrange the data set from least to greatest69. 69, 70, 70, 70, 70, 71, 71, 71. 72. 73. 300tempersu• calculate the median of the data set.70f73 "f70°f•calculate the lower quartile. objectobject 1object 2object 3object 4objectsobjectsobject 7objectobject 9object 10objeot 11objeot 12•calculate the upper quartile.69 f70 f72 f71 f300 f-out717•find the interquartile range.•mulitply the iqr by 1.5add that number to the upper quartile. this number is the upper limnit for omers. anything above that number is an outlier. subtract that number from the lower quartile. this number is the lower limit for outhers. anything below that number is an outlier.11, 12, 12, 14, 22, 11, 13, 14, 15, 17, 11which measure of central tendency vbest represent this data- mean or mewer extreme