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Answer:
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Step-by-step explanation:
The standard deviation of a point estimator is the <u>standard error.</u>
"The point estimate is used to estimate the exact value of any parameter. For example, an internet poll says that 45% of Americans are concerned for the environment."
"Point estimates is a good measure but the problem with this parameter is that the sample of the statistics may vary so that there is a chance of sampling error."
"As the researcher is unable to presume that closeness of the sample statistics parameter with respect to the parameter so researcher refers to calculate the standard error instead of point estimate."
To learn more about standard error here
brainly.com/question/13179711
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Answer with Step-by-step explanation:
We are given that
and 
are linearly independent.
By definition of linear independent there exits three scalar 
and 
such that
Where 
We have to prove that 
and 
are linearly independent.
Let 
and 
such that
...(1)
..(2)
..(3)
Because and are linearly independent.
From equation (1) and (3)
...(4)
Adding equation (2) and (4)
From equation (1) and (2)
Hence, and area linearly independent.
