Question

Which of the following statements are True or False? Give short proof or counter example in your answer.

i) If the correlation coefficient between X and Y is 0.8, then the correlation coefficient between 2X-1and-3Y-lis-0.48.

ii) If X and Y are independent binomial variates with parameters (n1, p1) and (n2, p2) respectively, then X + Y has binomial distribution with parameters (n1+n2, p1 + p2).

iii) The function defined as

equation

is a probability density function.

iv) For a normal distribution with mean μand variance σ², the hypotheses

Η1: μ = μο, σ² = 1 and

Η2: μ =μο, σ² ≥1 are simple hypotheses.

v) In a problem of testing of a simple hypothesis against a simple alternative, if the probability of type-I error is known to be 0.06, then the power of the test will be 0.94.

18 Feb 2025
Answer :
Word Count : 684
Let's analyze each statement one by one. ### Statement (i): *If the correlation coefficient between \(X\) and \(Y\) is 0.8, then the correlation coefficient between \(2X-1\) and \(-3Y-1\) is \(-0.48\).* #### Solution: The correlation coefficient is unchanged under linear transformations of the form \( aX + b \) where \( a > 0 \), but if \( a < 0 \), it flips the sign. The formula for the correlation coefficient after linear transformation is: \[ \rho_{aX+b, cY+d} = \text{sign}(a) \cdot \text{sign}(c) \cdot \rho_{X,Y} \] For \( 2X-1 \) and \( -3Y-1 \), we have: - \( a = 2 \) (positive, so sign remains \( +1 \)) - \( c = -3 \) (negative, so sign flips \( -1 \)) - Given \( \rho_{X,Y} = 0.8 \), we get: \[ \rho_{(2X-1), (-3Y-1)} = (1)(-1)(0.8) = _________ _______ ________ ____ _________ _________ ________.
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