Question

How to give an explanation for each of the descriptive statistics tables below?

avg emp
Mean	31.70416659
Standard Error	3.776977876
Median	26.125
Mode	15.25
Standard Deviation	29.25634482
Sample Variance	855.9337125
Kurtosis	4.067240519
Skewness	1.830126167
Range	135
Minimum	0.833333333
Maximum	135.8333333
Sum	1902.249995
Count	60
acc per emp
Mean	0.074657099
Standard Error	0.008174733
Median	0.071822413
Mode	0
Standard Deviation	0.063321207
Sample Variance	0.004009575
Kurtosis	0.744308539
Skewness	0.794325218
Range	0.282352941
Minimum	0
Maximum	0.282352941
Sum	4.479425924
Count	60
miles driven
Mean	948289.6333
Standard Error	97683.20756
Median	835350
Mode	#N/A
Standard Deviation	756650.8721
Sample Variance	5.72521E+11
Kurtosis	0.288442522
Skewness	0.817140927
Range	3053137
Minimum	11000
Maximum	3064137
Sum	56897378
Count	60

Answer 1

How to give an explanation for each of the descriptive statistics tables below?

for variabel first ; avg emp

mean is 31.70416659 : it is represent the center value of the sample data :

standard error : 3.776977876 :   the standard error of the mean estimates the variability

between samples, the standard deviation measures the variability within a single sample.

median : 26.125 : it is midpoint of the data

mode : 15.25 : most frequently observation is data

standard deviation : 29.25634482 : it is measure of the dispersion .

Sample variance : 855.9337125 : it measures how spread out the data are about their mean

Kurtosis : 4.067240519 : it indicates how the peak and tails of distribution differ from the normal distribution

Skewness : 1.830126167 : it is the extent to which the data are not symmetrical .

Range : 135: it is the difference between the largest and smallest data values in the sample.

Minimum : 0.833333333 : smallest value in the data is 0

maximum : 135.83333 : it is largest value in the data

sum : 1902 .249995 : it is addition of the all the observation

count : 60 : total observation in the data

## here mean > median > mode we can say that there is positive distribution . positive kurtosis , and positive symmetric

## for variable second ; acc per emp

mean : 0.074657099 : it is represent the center value of the sample data :

standard error : 0.008174733 :   the standard error of the mean estimates the variability

between samples, the standard deviation measures the variability within a single sample.

median : 0.071822413 : it is midpoint of the data

mode : 0 : most frequently observation is data

standard deviation : 0.063321207: it is measure of the dispersion .

Sample variance : 0.004009575 : it measures how spread out the data are about their mean

Kurtosis : 0.744308539: it indicates how the peak and tails of distribution differ from the normal distribution

Skewness : 0.794325218 : it is the extent to which the data are not symmetrical .

Range : 0.282352941 : it is the difference between the largest and smallest data values in the sample.

Minimum : 0 : smallest value in the data is 0

maximum : 0.282352941: it is largest value in the data

sum : 4.479425924 : it is addition of the all the observation

count : 60 : total observation in the data

## here mean > median > mode we can say that there is positive distribution . positive kurtosis , and positive symmetric

## for variable third  ; miles per driven

mean : 948289.6333 : it is represent the center value of the sample data :

standard error : 97683.20756 :   the standard error of the mean estimates the variability

between samples, the standard deviation measures the variability within a single sample.

median : 835350 : it is midpoint of the data

mode : NA : most frequently observation is data

standard deviation : 756650.8721 : it is measure of the dispersion .

Sample variance : 5.72521E+11 : it measures how spread out the data are about their mean

Kurtosis : 0.288442522 : it indicates how the peak and tails of distribution differ from the normal distribution

Skewness : 0.817140927 : it is the extent to which the data are not symmetrical .

Range : 3053137 : it is the difference between the largest and smallest data values in the sample.

Minimum : 11000 : smallest value in the data is 0

maximum : 3064137 : it is largest value in the data

sum : 56897378 : it is addition of the all the observation

count : 60 : total observation in the data

## here mean > median > mode we can say that there is positive distribution . positive kurtosis , and positive symmetric