Shape measurements The following table contains the number of car thefts in a large city in the past week. 980.9 1,036.5 1,099.5 1,153.9 1,409.0 1,456.4 1,718.4 1,721.2 Calculate the coefficient of...

Shape measurements:
The Analysis for data values contains the number of car thefts in a large city in the past week is worked on R-software version 3.6.1.
The data value consist of 8 observation, the coefficient of bias was found to be 1321.975. kurtosis is to measure the sharpness peak of the data, so on analyzing the data the kurtosis follows the platykurticn since the kurtosis value is less than 3 (kurtosis=1.549)
The summary statistics and Box-plot is shown below, on the plot
· The blue line indicates minimum value
· The yellow line indicates maximum value
· The green line indicates median
· The red line indicates quantiles
There was no outliers recorded in the data values. The median was found to be 1281.5 and most of the values lies between 1080- 1530. The distribution values can be conveyed through skweness, it is noted that skweness is greater than 0, i.e, 0.293. so we conclude that the distribution of given data is positively skewed, which means that most of the values are less than mean.
    
> library(SimDesign)
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