SOLUTION
I drew a frequency table to represent the data and ease the calculation
(a) Calculate the mean
M e a n ( μ ) = Σ f ( x ) n = 780 100 = 7.8 Mean(\mu)=\frac{\Sigma{f(x)}}{n}=\frac{780}{100}=7.8 M e an ( μ ) = n Σ f ( x ) = 100 780 = 7.8
Answer = 7.8 =7.8 = 7.8
(b) Calculate the variance and standard deviation
σ 2 = Σ f ( x ) 2 − ( Σ f ( x ) ) 2 n \sigma^2=\frac{\Sigma{f(x)^2}-(\Sigma{f(x))^2}}{n} σ 2 = n Σ f ( x ) 2 − ( Σ f ( x ) ) 2
= 6440 − ( 780 ) 2 100 = 3.56 σ = 3.56 = 1.8868 =\frac{6440-(780)^2}{100}=3.56\\
\sigma=\sqrt{3.56}=1.8868 = 100 6440 − ( 780 ) 2 = 3.56 σ = 3.56 = 1.8868
Answer = 1.8868 =1.8868 = 1.8868
(c) Calculate the mode
Maximum frequency is 40. The mode class is 7-9.
L = L= L = lower boundary point of mode class = 7 =7 = 7
f 1 = f_1= f 1 = frequency of the mode class= 40 =40 = 40
f 0 = f_0= f 0 = frequency of the preceding class = 30 =30 = 30
f 2 = f_2= f 2 = frequency of the succeeding class = 20 =20 = 20
c = c= c = class length of mode class = 2 =2 = 2
M o d e = Z = L + ( f 1 − f 0 2 f 1 − f 0 − f 2 ) ∗ c = 7 + ( 40 − 30 2 ( 40 ) − 30 − 20 ) ∗ 2 = 7.6667 Mode=Z=L+\Big(\frac{f_1-f_0}{2f_1-f_0-f_2}\Big)*c\\=7+\Big(\frac{40-30}{2(40)-30-20}\Big)*2=7.6667 M o d e = Z = L + ( 2 f 1 − f 0 − f 2 f 1 − f 0 ) ∗ c = 7 + ( 2 ( 40 ) − 30 − 20 40 − 30 ) ∗ 2 = 7.6667
Answer = 7.6667 =7.6667 = 7.6667
(d) Calculate the median
value of ( n / 2 ) t h (n/2)th ( n /2 ) t h observation = = = value of ( 100 / 2 ) t h (100/2)th ( 100/2 ) t h observation = = =
value of ( 50 ) t h (50)th ( 50 ) t h observation
From the column of cumulative frequency c f , cf, c f , we find that the ( 50 ) t h (50)th ( 50 ) t h observation lies in the class 7-9.
The median class is 7-9.
L = L= L = lower boundary point of median class = 7 =7 = 7
n = n= n = Total frequency = 100 =100 = 100
c f = cf= c f = Cumulative frequency of the class preceding the median class = 35 =35 = 35
f = f= f = Frequency of the median class = 40 =40 = 40
c = c= c = class length of median class = 2 =2 = 2
m e d i a n = M = L + ( n 2 − c f f ) ⋅ c median=M=L+(\dfrac{\dfrac{n}{2}-cf}{f})\cdot c m e d ian = M = L + ( f 2 n − c f ) ⋅ c
= 7 + ( 50 − 35 40 ) ⋅ 2 = 7.75 =7+(\dfrac{50-35}{40})\cdot 2=7.75 = 7 + ( 40 50 − 35 ) ⋅ 2 = 7.75 Answer = 7.75 =7.75 = 7.75
(e) Calculate the coefficient of variation
coefficient of variation = σ x ˉ ⋅ 100 % = 1.8868 7.8 ⋅ 100 % ≈ 24.19 % =\dfrac{\sigma}{\bar{x}}\cdot100\%=\dfrac{1.8868}{7.8}\cdot100\%\approx24.19\% = x ˉ σ ⋅ 100% = 7.8 1.8868 ⋅ 100% ≈ 24.19%
Answer = 24.19 % =24.19\% = 24.19%