Let the Mean and Variance of five observations , be and respectively. If three observations are and with , then the Variance of the observations for is
- A
- B
- C
- D
Let the Mean and Variance of five observations , be and respectively. If three observations are and with , then the Variance of the observations for is
Correct answer:D
Standard Method
Given: Mean of the five observations is and variance is . The observations are with .
Find: The variance of the transformed observations for .
Using the mean,
so,
Using the variance formula,
Now use
Substituting the known values,
So and are roots of
that is,
Hence,
Since ,
Therefore the original observations are
The new observations are
So the new set is
Its mean is
Now compute the variance:
Therefore, the variance of the transformed observations is . The correct option is D.
Use centered values directly
Given: The original mean is and variance is .
Find: The variance of .
From the mean condition,
So the mean of the transformed observations is
Now measure each transformed value from the new mean :
Using the working from the extracted solution,
Then the variance is evaluated there as
Therefore, the variance of the new observations is . The correct option is D.
Using the variance formula incorrectly by omitting the square on the mean. Variance here is , not . Always square the mean before subtracting.
Ignoring the condition after solving the quadratic. The roots are and , and the larger value must be assigned to . Otherwise the observations are mislabeled.
Computing the new observations as or changing every term by the same amount. The transformation is position-wise: first term is , second is , and so on.
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