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Question: All the students of a class performed poorly in mathematics. The teacher decided to give grace marks...

All the students of a class performed poorly in mathematics. The teacher decided to give grace marks of 1010 to each of the students. Which of the following statistical measures will not change even after the grace marks were given?
1). MeanMean
2). MedianMedian
3). ModeMode
4). VarianceVariance

Explanation

Solution

We have to find the statistical measure whose value will not change even after the addition of 1010 marks to each of the students . We solve this question using the concept of statistics . We should have the knowledge of the formulas of each of the quantities I.e. the mean , median , mode , variance etc . We can find the change In the old values by making changes in the actual condition of the various formulas .

Complete step-by-step solution:
Given :
Grace marks of 1010 are added to each of the students .
Let us consider that there are NN number of students in the class . Also , let the marks of the students in the class be x1 , x2, x3 , x4 .. , xn .{x_1}{\text{ }},{\text{ }}{x_2},{\text{ }}{x_3}{\text{ }},{\text{ }}{x_4}{\text{ }} \ldots \ldots \ldots \ldots ..{\text{ }},{\text{ }}{x_n}{\text{ }}.
Now , starting with the statistical measures :
(1) Mean    \left( 1 \right){\text{ }}Mean\;\;
We know that mean is defined as the average of the observations . It is the ratio of the total sum of the values of the given observations to the total number of observations . This gives us an average value for the whole set of observations .
We know the formula for mean of data , using the formula we can get the change in the mean value of the marks of the class .
Mean of marks of students ( M1 ) = [ x1 + x2 + x3 + x4 .. + xn ]n\left( {{\text{ }}{M_1}{\text{ }}} \right){\text{ }} = {\text{ }}\dfrac{{\left[ {{\text{ }}{x_1}{\text{ }} + {\text{ }}{x_2}{\text{ }} + {\text{ }}{x_3}{\text{ }} + {\text{ }}{x_4}{\text{ }} \ldots \ldots \ldots \ldots ..{\text{ }} + {\text{ }}{x_n}{\text{ }}} \right]}}{n}
After adding ten grace marks , the new mean is :
New mean ( M2 ) = [ (x1 + 10) + (x2 + 10 ) +  + ( xn + 10) ] n\left( {{\text{ }}{M_2}{\text{ }}} \right){\text{ }} = {\text{ }}\dfrac{{\left[ {{\text{ }}\left( {{x_1}{\text{ }} + {\text{ }}10} \right){\text{ }} + {\text{ }}\left( {{x_2}{\text{ }} + {\text{ }}10{\text{ }}} \right){\text{ }} + {\text{ }} \ldots \ldots \ldots \ldots {\text{ }} + {\text{ }}\left( {{\text{ }}{x_n}{\text{ }} + {\text{ }}10} \right){\text{ }}} \right]{\text{ }}}}{n}
On solving , we get
M2 = M1 + 10{M_2}{\text{ }} = {\text{ }}{M_1}{\text{ }} + {\text{ }}10i.e. the new mean changes .
\left( 2 \right)$$$$Mode
Mode is defined as the value which occurred for the maximum number of times in an observation . So , if   X\;X marks were the mode of the data , then the mode value of marks would also increase by 1010 . As the original marks increased by a value of 1010 for every student .
\left( 3 \right)$$$$Median
Median in the middle most value of the marks arranged in an ascending or descending order . So if the value of marks increases then the value of median marks also increases .
Also , there is a relation between mode median and mode I.e. 3 median = mode + 2 mean .3{\text{ }}median{\text{ }} = {\text{ }}mode{\text{ }} + {\text{ }}2{\text{ }}mean{\text{ }}.
Hence , if any one of these quantities change then the other two also change .
\left( 4 \right)$$$$Variance
Variance is stated as the sum of squares of the deviations from mean . In simple terms it is the sum of squares of the actual value subtracted from the mean value of the observations .
Thus , we conclude that the statistical term which will not change even after the grace marks is added to every student is variance of the data
Hence , the correct option is (4)\left( 4 \right) .

Note: The value of mean , median and mode changes for every addition or subtraction of a value in the actual observation . It is also affected by the multiplication and division of terms by any of the constants . The variance and standard deviation of the data remains unaffected when a value is added or subtracted from the actual observations . But these get affected when terms are multiplied or divided by any of the constant terms .