If the probability of a defcctive bolt is variance (iii) moment coefficient of skewness (iv) kurtosis, for the find (i) the mean (ii) 10'
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- Let's take XI, X2 ... Хій a radom sample of distribution defined in from the uniform (0, 0+1). Is the predictor &=X-12 Calculate the variance ? the intervalNeed help plzQUESTION 5Based on the images attached, consider the data in the table (USD). a) Compute the residual variance and standard error of the estimate.b) (Refer to the image attached).*Help me solve these questions. Thank you.
- Let Y, represent the ith normal population with unknown mean , and unknown variance of for i=1,2. Consider independent random samples, Ya, Y2. the ith population with sample mean Y, and sample variance S² = Yin, of size n,, from (Y-₁². (a) What is the distribution of Y,? State all the relevant parameters of the distribution. (b) Find a level a test (that is, the rejection region) for testing Ho : 4 = o versus Ha i Pio when of is unknown and n, is small. : (e) In the context of the test in part (b), state the Type I error and give a probability statement for the level of significance, a.Kindly assist with question 2, (i)I need to answer these questions as soon as possible, please
- i need the answer quicklyF. Suppose that a random variable X has normal distribution with mean µ = 2 and variance σ 2 = 9, that is, X ∼ N(2, 9). (30) E[(X + 2)^2 ] is (a) 20 (b) 25 (c) 15 (d) 30 (31) The variance of X/2 + 3 is (a) 9/4 (b) 3/8 (c) 9 (d) 9/2Answer parts a and b of the following question. Show work. Let Y > 0 be a continuous random variable representing time from regimen start to bone-marrow transplant. Everyone does not survive long enough to get the transplant. Let X > 0 be a continuous random variable representing time from regimen start to death. We can assume X ⊥ Y and model time to death as X ∼ Exp(rate = θ) and time to transplant as Y ∼ Exp(rate = µ). Where Exp(rate = λ) denotes the exponential distribution with density f(z | λ) = λe−λz for z > 0 and 0 elsewhere - with λ > 0. a.) In probability/random variable notation, express the probability that a patient receives transplant before death b.) For this problem, what is the joint density fXY (x, y)? Show that it is a valid density.
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