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JEE Main 20238 AprilEvening Shift
Exam
JEE Main
Year
2023
Date
8 April
Shift
Evening Shift
Subject
Mathematics
Chapter
Statistics

JEE Main 2023 · 8 April · Evening Shift · Mathematics · Statistics

Let the mean and variance of 12 observations be (9)/(2) and 4...

Let the mean and variance of 1212 observations be 92\dfrac{9}{2} and 44 respectively. Later on, it was observed that two observations were considered as 99 and 1010 instead of 77 and 1414 respectively. If the correct variance is mn\dfrac{m}{n}, where mm and nn are coprime, then m+nm + n are coprime, then m+nm + n is equal to

Options

  1. A315315
  2. B316316
  3. C314314
  4. D317317

Correct answer

D. 317317

Step-by-step solution

Given,

The mean and variance of 1212 observations be 92\dfrac{9}{2} and 44 respectively,

So, mean will be,

x¯=x1+x2+……+9+10+…..+x1212=92\overset{¯}{x} = \dfrac{{x}_{1} + {x}_{2} + \ldots \ldots + 9 + 10 + \ldots . . + {x}_{12}}{12} = \dfrac{9}{2}

⇒x1+x2……+x12+19=54⇒ {x}_{1} + {x}_{2} \ldots \ldots + {x}_{12} + 19 = 54

Now removing the observation 9 and 109 \text{ and } 10 and adding the observation 7 and 147 \text{ and } 14,

So, the new total sum of the observation will be,

x1+x2+……+x12+7+14=54−19+7+14{x}_{1} + {x}_{2} + \ldots \ldots + {x}_{12} + 7 + 14 = 54 - 19 + 7 + 14

Now new mean will be,

x1+x2+….+x12+7+1412=5612\dfrac{{x}_{1} + {x}_{2} + \ldots . + {x}_{12} + 7 + 14}{12} = \dfrac{56}{12}

⇒x¯new=143⇒ \overset{¯}{x}\text{new} = \dfrac{14}{3}
Now using the formula of the variance we get,

x12+x22+……+x122+92+10212−(92)2=4\dfrac{{x}_{1}^{2} + {x}_{2}^{2} + \ldots \ldots + {x}_{12}^{2} + {9}^{2} + {10}^{2}}{12} - {\left(\dfrac{9}{2}\right)}^{2} = 4

⇒x12+x22+……+x122+92+102−81×3=4×12⇒ {x}_{1}^{2} + {x}_{2}^{2} + \ldots \ldots + {x}_{12}^{2} + {9}^{2} + {10}^{2} - 81 \times 3 = 4 \times 12

⇒x12+x22+……+x122+92+102=291⇒ {x}_{1}^{2} + {x}_{2}^{2} + \ldots \ldots + {x}_{12}^{2} + {9}^{2} + {10}^{2} = 291

Now removing 92 and 102{9}^{2} \text{ and } {10}^{2} and adding 72 and 142{7}^{2} \text{ and } {14}^{2} we get,

⇒x12+x22+……+x122+72+142=355⇒ {x}_{1}^{2} + {x}_{2}^{2} + \ldots \ldots + {x}_{12}^{2} + {7}^{2} + {14}^{2} = 355
New variance =∑xi2N−(x¯)2= \dfrac{∑ {x}_{i}^{2}}{N} - ( \overset{¯}{x}{)}^{2}
=35512−(143)2= \dfrac{355}{12} - {\left(\dfrac{14}{3}\right)}^{2}
=28136= \dfrac{281}{36}

Now on comparing with mn=28136\dfrac{m}{n} = \dfrac{281}{36} we get,

⇒m=281⇒ m = 281 and n=36n = 36

∴m+n=317∴ m + n = 317

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