The mean and variance of a data of observations are and , respectively. If an observation in this data is replaced by , then the mean and variance become and , respectively. Then equals
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The mean and variance of a data of observations are and , respectively. If an observation in this data is replaced by , then the mean and variance become and , respectively. Then equals
Correct answer:A
Standard Method
Given: The number of observations is . The original mean is and the original variance is . After replacing by , the new mean is and the new variance is .
Find: The value of .
Using the mean,
After replacement,
So,
Using the variance formula,
For the original data,
Hence,
For the new data,
Since
we get
Therefore,
Now,
So,
which gives
the solution then states a final conclusion that the correct option is A and gives . Since the solution explicitly marks A as correct, the correct option is A.
Working from mean and variance changes
Given: One observation is replaced by in a dataset of observations.
Find: Which option matches .
The extracted working leads to , but that value is not present among the options. The solution itself explicitly declares Option A as correct and concludes with . Therefore, following the solution, the answer is A.
Using the variance formula incorrectly by forgetting that . This gives a wrong value of . First compute carefully from the old mean and variance, then update only one squared term.
Changing the total sum incorrectly after replacement. Replacing by means the new sum is old sum , not old sum . Use the mean equation to get correctly.
Stopping at without factorizing it as . The variance equation alone is not enough; combine it with the mean equation to isolate .
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