i) Calculate the expected value of S. ii) Calculate the variance of S. iii) Determine E (1145 - 7S - 6S²).
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Q: Total plasma volume is important in determining the required plasma component in blood replacement…
A: Note: Hi there! Thank you for posting the question. As there are multiple sub parts, according to…
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Q: Total plasma volume is important in determining the required plasma component in blood replacement…
A: Note: Hi there! Thank you for posting the question. As there are multiple sub parts, according to…
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A: Solution: n1=27n2=20X= ∑Xn1=219.427=8.1259Y= ∑Yn2=172.120=8.605σ12=…
Q: Total plasma volume is important in determining the required plasma component in blood replacement…
A: Obtain the 99% confidence interval for the population mean. The 99% confidence interval for the…
Q: Total plasma volume is important in determining the required plasma component in blood replacement…
A: Solution:
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- The random variables X,Y have variance Var(X)=36 and Var(Y)=1 and their correlation is Cor(X,Y)=−3/4. Calculate Var(X+Y) with a full explanationLet X∼Uniform(0,1) distribution. Find the PDF of Y= 3√X and derive the expected value and the variance of Y.Total plasma volume is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced by the overall health and physical activity of an individual. Suppose that a random sample of 43 male firefighters are tested and that they have a plasma volume sample mean of x = 37.5 ml/kg (milliliters plasma per kilogram body weight). Assume that σ = 7.50 ml/kg for the distribution of blood plasma. (a) Find a 99% confidence interval for the population mean blood plasma volume in male firefighters. What is the margin of error? (Round your answers to two decimal places.) lower limit 1 upper limit 2 margin of error 3 (b) What conditions are necessary for your calculations? (Select all that apply.) n is large the distribution of weights is normal σ is known the distribution of weights is uniform σ is unknown (c) Interpret your results in the context of this problem. 1% of the intervals created using…
- The random variable X takes value O with probability, and value 1 with the remaining probability. The random variable Y takes value 100 with probability and value 101 with the remaining probability. What is the relation between the variance of X and the variance of Y? Var[X] Var[Y] "Identify the distributions of the random variables with the following moment- generating functions and derive the mean and the variance: a) My(t) = (1 – 4t)-2 b) My(t) = e-5t+6t² %3DGiven pdf f (x) = 1.5x2 for −1< x < 1. Determine variance of X.
- Let X represent the number of tires with low air pressure on a randomly chosen car. The probability distribution of X is as follows. 2 3 4 P(x) 0.1 0.2 0.1 0.2 0.4 Send data to ExcelThe discrete random variables X and Y have the following joint probability function Y 0 1 2 1 1/20 2/20 3/20 X 2 2/20 1/20 4/20 3 3/20 1/20 3/20Consider an MA(2) model: STEPS -Write the equation of the M(2) model-Determine the model based on the delay operator.- Find the expected value of the model- Find the variance of the model.- Find the covariances associated with 1,2, and s steps.- Find the associated correlation indices of 1,2, and s steps.- Assume that information is available up to time $h$ and the function that contains the accumulated information f(h, h-1,……), determine the forecasts and the error associated with 1,2, and s steps.