(1 point) If Y-LX, and every X, is ii.d with distribution binomial(n, p), find the MGF of Y M(t) What is the distribution of Y? Select all that apply. There may be more than one correct answer A. bin...
1 point) If YX and every X, is i.i.d with distribution binomial(n, p), find the MGF of Y M(t) = What is the distribution of Y? Select all that apply. There may be more than one correct answer. DA, binomial(rn * n, p) B. binomial(n, m*p) | | C. binomial(m, p) D. negative binomial(n,p) E. negative binomial(m,p) F. negative binomial(n, m* p) G. binomialn,p) OH. negative binomial(m * n, p) I. None of the above
(1 point) If Y-Σǐn 1 X, and every Xi is i.i.d with distribution binomial(n, p), find the MGF of Y M(t) What is the distribution of Y? Select all that apply. There may be more than one correct answer A. binomial (n, m * p) B. negative binomial(m * n,p) C. negative binomial(n,p) D. negative binomial(m, p) E. binomial(m,p) F. binomial(n,p) G. binomial(m * n,p) H. negative binomial(n,m* p) I. None of the above
(1 point) If Y is binomial(n, p), find the MGF of Y. M(t) If n = 13 and p = 0.2, differentiate the MGF you found above to find the first 3 moments of Y about 0. 1st Moment: 2nd Moment: 3rd Moment: Using the moments above, calculate the variance of Y. var(Y) =
(1 point) If Y is binomial(n, p), find the MGF of Y. M(t) If n = 13 and p = 0.2, differentiate the MGF you found...
21 (1 point) If Y X and every Xi is i.i.d with a chi-squared distribution with 14 degrees of freedom, find the MGF of Y М()- What is the distribution of Y? Select all that apply. There may be more than one correct answer. А. gатта(а - 147, 8 В. датта(а — 2, В — 294) с. датта(а — 1,8— 1/147) D. gamma(a 1, B 1/294) E. chi squared(df 294) F. еzрoпential(A — 204) G. exponential(A 147) H. chi squared(df...
0.2e ( poimt Given the M randmvariable X is MO). t0Provide the name of the distribution of X, as well as its provide the name of the distrbon of X, as well as is parameters Select all that apply. There may be more than one correct answer. A. negative binomial (n 1,p 0.2) OC. geometric(p 0.8) B. geometriclp 0.2) D. negative binomial(n-1, p-0.8) E. binomial(n-1,p-0.2) - F. binomial(n-1, p-0.8) G. bernoulli(p 0.2) H. bernoulli(p 0.8) I. None of the above
(1 point) Given the MGF of random variable Wis M(t) = €2.4+-+15t provide the name of the distribution of W, as well as its parameters. Select all that apply. There may be more than one correct answer. A. normal(u = 2.4, o2 = 15) B. normallu = 15, o2 = 2.4) C. gamma(a = 4.8,B = 15) D. gamma(a = 15, B = 4.8) E. normal(u = 4.8, 02 = 15) OF. gamma(a = 15, B = 2.4) G. normallu...
(1 point) Select all statements that are correct. There may be more than one correct answer. The statements may appear in what seems to be a random order. A. Euler's method is generally a very accurate method for approximating solution curves to differential equations B. Halving the step size in Euler's method approximately halves the error. C. Euler's method is a numerical method for approximating points lying on a solution curve to a differential equation. D. Euler's method does not...
(1 point) Select all statements that are correct. There may be more than one correct answer. The statements may appear in what seems to be a random order. A. Euler's method is generally a very accurate method for approximating solution curves to differential equations B. Halving the step size in Euler's method approximately halves the error. C. Euler's method is a numerical method for approximating points lying on a solution curve to a differential equation. D. Euler's method does not...
Which of the following statements are TRUE? There may be more than one correct answer; select all that are true. A standard normal random variable cannot take on negative values. The normal distribution is symmetric about the mean mu. A normal distribution cannot have a negative mean. In a normal distribution, the mean and median are equal. If Z is a standard normal random variable, then P(Z > 41278) is very close to 0.
Which of the following statements are TRUE? There may be more than one correct answer; select all that are true. If Z is a standard normal random variable, P(Z <0.5) = 0. The interquartile range (IQR) of a normal distribution can be negative. The variance of a normal distribution cannot be negative. The 50th percentile of the standard normal distribution is 0. The 80th percentile of the standard normal distribution is positive.