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Question: Find the missing frequency \({f_1}\) and \({f_2}\)in the table given below, it is being given that t...

Find the missing frequency f1{f_1} and f2{f_2}in the table given below, it is being given that the mean of the given frequency distribution is 50.

Class0-2020-4040-6060-8080-100Total
Frequency17f1{f_1}32f2{f_2}19120
Explanation

Solution

Here we have to find out the frequencies f1{f_1} and f2{f_2}, which are in the frequencies of which a particular class occurs those many times, which is called as the frequencies. So given the mean of the frequency distribution, to find out the unknown frequencies which are f1{f_1} and f2{f_2}. First of all we have to understand what mean is, mean is the average of the given data, which is calculated by the ratio of sum of all the observations to the total number of observations.

Complete step-by-step solution:
Here in order to find the mathematical expression of mean, we have to find out the expression for the sum of all the observations and also the expression for the total number of observations.
The total number of observations is 120 which is already given :
ifi=120\Rightarrow \sum\limits_i {{f_i}} = 120
The sum of all the observations is given by ifixi\sum\limits_i {{f_i}{x_i}} , as the observations have occurred for multiple number of times, hence multiplying the observation with how many number of times it has occurred which is the frequency.
\because Here each class is not of an individual number but rather it is an interval, in such a case consider the middle value of the interval for each class, which is given below:
\RightarrowFor the class 0-20 , the x1=10{x_1} = 10
\RightarrowFor the class 20-40 , the x2=30{x_2} = 30
\RightarrowFor the class 40-60 , the x3=50{x_3} = 50
\RightarrowFor the class 60-80 , the x4=70{x_4} = 70
\RightarrowFor the class 80-100 , the x5=90{x_5} = 90
\therefore The expression of mean is given by:
ifixiifi=17(10)+f1(30)+32(50)+f2(70)+19(90)17+f1+32+f2+19\Rightarrow \dfrac{{\sum\limits_i {{f_i}{x_i}} }}{{\sum\limits_i {{f_i}} }} = \dfrac{{17(10) + {f_1}(30) + 32(50) + {f_2}(70) + 19(90)}}{{17 + {f_1} + 32 + {f_2} + 19}}
ifixiifi=3480+30f1+70f2f1+f2+68\Rightarrow \dfrac{{\sum\limits_i {{f_i}{x_i}} }}{{\sum\limits_i {{f_i}} }} = \dfrac{{3480 + 30{f_1} + 70{f_2}}}{{{f_1} + {f_2} + 68}}
Given that the mean of the frequency distribution is 50, is equated to the above obtained mean expression to find out the values of f1{f_1} and f2{f_2} is shown below:
3480+30f1+70f2f1+f2+68=50\Rightarrow \dfrac{{3480 + 30{f_1} + 70{f_2}}}{{{f_1} + {f_2} + 68}} = 50
Also given that ifi=120\sum\limits_i {{f_i}} = 120, from here another equation can be obtained:
f1+f2+68=120\Rightarrow {f_1} + {f_2} + 68 = 120
Hence we have 2 variables and 2 equations to get the solutions of the two unknown variables f1{f_1}andf2{f_2}.
Now from the frequency summation :
f1+f2+68=120\Rightarrow {f_1} + {f_2} + 68 = 120
f1+f2=52\Rightarrow {f_1} + {f_2} = 52
From this equation finding the expression off2{f_2} :
f2=52f1\Rightarrow {f_2} = 52 - {f_1}
Substituting the f2{f_2} expression in the mean expression to find the value of f1{f_1} :
3480+30f1+70(52f1)f1+(52f1)+68=50\Rightarrow \dfrac{{3480 + 30{f_1} + 70(52 - {f_1})}}{{{f_1} + (52 - {f_1}) + 68}} = 50
3480+30f1+364070f1f1f1+120=50\Rightarrow \dfrac{{3480 + 30{f_1} + 3640 - 70{f_1}}}{{{f_1} - {f_1} + 120}} = 50
712040f1120=50\Rightarrow \dfrac{{7120 - 40{f_1}}}{{120}} = 50
712040f1=50(120)\Rightarrow 7120 - 40{f_1} = 50(120)
712040f1=6000\Rightarrow 7120 - 40{f_1} = 6000
71206000=40f1\Rightarrow 7120 - 6000 = 40{f_1}
1120=40f1\Rightarrow 1120 = 40{f_1}
f1=112040\Rightarrow {f_1} = \dfrac{{1120}}{{40}}
f1=28\Rightarrow {f_1} = 28
f1=28\therefore {f_1} = 28
Now finding f2{f_2} by substituting f1{f_1} in :
f2=52f1\Rightarrow {f_2} = 52 - {f_1}
f2=5228\Rightarrow {f_2} = 52 - 28
f2=24\Rightarrow {f_2} = 24
f2=24\therefore {f_2} = 24

The values of f1=28{f_1} = 28 and f2=24{f_2} = 24

Note: Here while calculating the value of the mean, the sum of all the observations is the sum of the frequency times the observation, but here the observations of a class are given in the form of an interval, hence the observation value here is taken to be the middle value of the interval of the class.