JEE Mains · Maths · STD 11 - 13. statistics
Let \( \bar x , M\) and \(\sigma^2\) be respectively the mean, mode and variance of \(n\) observations \(x_1 , x_2,...,x_n\) and \(d_i\, = - x_i - a, i\, = 1, 2, .... , n\), where \(a\) is any number.
Statement \(I\): Variance of \(d_1, d_2,.....d_n\) is \(\sigma^2\).
Statement \(II\) : Mean and mode of \(d_1 , d_2, .... d_n\) are \(-\bar x -a\) and \(- M - a\), respectively
- A Statement \(I\) and Statement \(II\) are both false
- B Statement \(I\) and Statement \(II\) are both true
- C Statement \(I\) is true and Statement \(II\) is false
- D Statement \(I\) is false and Statement \(II\) is true
Answer & Solution
Correct Answer
(B) Statement \(I\) and Statement \(II\) are both true
Step-by-step Solution
Detailed explanation
\(\left( b \right)\,\,\bar x = \frac{{{x_1} + {x_2} + {x_3} + ... + {x_n}}}{n}\) \({\sigma ^2} = \frac{1}{n}\sum\limits_{i = 1}^n {{{\left( {{x_i} - \bar x} \right)}^2}} \) Mean of \({d_1},{d_2},{d_3},......,{d_n}\) \( = \frac{{{d_1} + {d_2} + {d_3} + ...... + {d_n}}}{n}\)…
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