I used R software to solve this problem.
R code:
>
class_A=c(71,82,55,76,66,71,90,84,95,64,71,70,73,45,73,51,68)
> length(class_A)
[1] 17
>
class_B=c(54,80,12,61,73,69,92,81,80,61,75,74,15,44,91,63,50,84)
> length(class_B)
[1] 18
> summary(class_A)
Min. 1st Qu. Median Mean 3rd Qu. Max.
45.00 66.00 71.00 70.88 76.00 95.00
> table(class_A)
class_A
45 51 55 64 66 68 70 71 73 76 82 84 90 95
1 1 1 1 1 1 1 3 2 1 1 1 1 1
> summary(class_B)
Min. 1st Qu. Median Mean 3rd Qu. Max.
12.00 55.75 71.00 64.39 80.00 92.00
> table(class_B)
class_B
12 15 44 50 54 61 63 69 73 74 75
80 81 84 91 92
1 1 1 1 1 2 1 1 1 1 1 2 1 1 1
1
1. Measure of central tendency are as follows,
For class A
mean = 70.88 median= 71 mode= 71
For class B
Mean = 64.39 median= 71 mode = 61 and 80
2. Variance and standard deviation:
> v1= var(class_A)*16/17
[1] 157.3979
> sd1=sqrt(v1)
> sd1
[1] 12.54583
> v2=var(class_B)*17/18
[1] 492.1265
> sd2=sqrt(v2)
> sd2
[1] 22.18393
For class A:
Variance = 157.3979 and standard deviation = 12.54583
For class B:
Variance = 492.1265 and standard deviation = 22.18393
3. Five figure summary
> summary(class_A)
Min. 1st Qu. Median Mean 3rd Qu. Max.
45.00 66.00 71.00 70.88 76.00 95.00
> summary(class_B)
Min. 1st Qu. Median Mean 3rd Qu. Max.
12.00 55.75 71.00 64.39 80.00 92.00
Inter-quartile range,
For Class A, IQR= Q3 - Q1 = 76 - 66 = 10
for class B IQR= Q3 - Q1 = 80-55.75= 24.25
4.
> boxplot(class_A)
> boxplot(class_B)
5.
From box plot and summary statistic we see that,
class A students marks are symmetrically distributed while Class B students marks are negatively skewed.
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