Answer the following questions with TRUE or FALSE, and explain your answer: (a) Let a random sample of independent X1 , . . . Xn  be taken from a population with mean µx , variance σ2x . Then, the variance of X bar, (the sample mean) will always be less than or equal to the variance of X. (b) If X and Y have correlation 0.50, then the correlation

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Answer the following questions with TRUE or FALSE, and explain your answer:

(a) Let a random sample of independent X1 , . . . Xn  be taken from a population with mean µx , variance σ2. Then, the variance of X bar, (the sample mean) will always be less than or equal to the variance of X.

(b) If X and Y have correlation 0.50, then the correlation between 4X and 5Y will not be 0.50.

(c) For n dependent random variables X1 , . . . , Xn , drawn from the same population with mean µx ,
E[X bar] = µx .

(d) If X has a variance of 4 and mean of 2, and a sample mean based on 4 independent Xi  was
calculated, the probability that X will be larger than 8 is larger than the probability that X bar is
larger than 8.

***Note: (Please do not copy answer from Chegg!)

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Hello! As you have posted 4 different questions, we are answering the first question. In case you require the unanswered question also, kindly re-post them as separate question.

a)

Given information:

Let a random sample of independent X1 , . . . Xn  be taken from a population with mean µx , variance σ2x

From the central limit theorem,

The mean and variance of sample mean is, 

Ex¯=μxVx¯=σx2n, here, n=sample size.

 

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