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Statistics question

2020 · 2 Sep · Shift 1 · Q36
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Statistics question

2020 · 2 Sep · Shift 1 · Q36

JEE MainMathematicsStatisticsMCQ+4 / −1
Let X = {x ∈\in∈ N : 1 ≤\le≤ x ≤\le≤ 17} and Y = {ax + b: x ∈\in∈ X and a, b ∈\in∈ R, a > 0}. If mean and variance of elements of Y are 17 and 216 respectively then a + b is equal to :
  1. A
    7
  2. B
    9
  3. C
    -7
  4. D
    -27
View written solutionFree

Correct answer: C

  1. Interpret the sets

Given X={x∈N:1≤x≤17}={1,2,3,…,17}.X = \{x \in \mathbb{N} : 1 \le x \le 17\} = \{1,2,3,\dots,17\}.X={x∈N:1≤x≤17}={1,2,3,…,17}.

Also, Y={ax+b:x∈X, a,b∈R, a>0}.Y = \{ax+b : x \in X,\ a,b \in \mathbb{R},\ a>0\}.Y={ax+b:x∈X, a,b∈R, a>0}.

So the elements of YYY are obtained by applying the linear transformation y=ax+by = ax+by=ax+b to each element of XXX.


  1. Mean and variance of XXX

Since X={1,2,3,…,17}X = \{1,2,3,\dots,17\}X={1,2,3,…,17} is an arithmetic progression:

Mean of XXX

Xˉ=1+172=9.\bar X = \frac{1+17}{2} = 9.Xˉ=21+17​=9.

Variance of XXX

For the numbers 1,2,…,n1,2,\dots,n1,2,…,n, Var⁡(X)=n2−112.\operatorname{Var}(X)=\frac{n^2-1}{12}.Var(X)=12n2−1​. Here n=17n=17n=17, so \operatorname{Var}(X)=\frac{17^2-1}{12}= rac{289-1}{12}= rac{288}{12}=24.

Thus, μX=9,σX2=24.\mu_X=9, \qquad \sigma_X^2=24.μX​=9,σX2​=24.


  1. Use transformation formulas

If Y=aX+b,Y = aX+b,Y=aX+b, then

  • mean transforms as μY=aμX+b,\mu_Y = a\mu_X + b,μY​=aμX​+b,
  • variance transforms as σY2=a2σX2.\sigma_Y^2 = a^2\sigma_X^2.σY2​=a2σX2​.

Given: μY=17,σY2=216.\mu_Y = 17, \qquad \sigma_Y^2 = 216.μY​=17,σY2​=216.

So, a2⋅24=216.a^2 \cdot 24 = 216.a2⋅24=216. Hence, a2=9.a^2 = 9.a2=9. Since a>0a>0a>0, a=3.a=3.a=3.

Now use the mean: aμX+b=17a\mu_X + b = 17aμX​+b=17 3⋅9+b=173\cdot 9 + b = 173⋅9+b=17 27+b=1727+b=1727+b=17 b=−10.b=-10.b=−10.


  1. Find a+ba+ba+b

a+b=3+(−10)=−7.a+b = 3 + (-10) = -7.a+b=3+(−10)=−7.


  1. Check options
  • A: 777 ❌
  • B: 999 ❌
  • C: −7-7−7 ✅
  • D: −27-27−27 ❌

Therefore, the correct answer is −7.\boxed{-7}.−7​.

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