Hi, I need help with full working for this question. Answer for i) is 0 and ii) is 0.0595.
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Hi, I need help with full working for this question. Answer for
i) is 0 and...
Xi : i = 1,2,3,4 are independent and identically distributed Bernoulli variables with parameter p= 0.6....
Xi : i = 1,2,3,4 are independent and identically distributed Bernoulli variables with parameter p= 0.6. Find P(X1=X2), P(X1=X2≠X3), E[2X1+ 3X2−5], and E[(X1+X4)^3].
3. Suppose X1, X2, -- are independent identically distributed random variables with mean 0 and va...
3. Suppose X1, X2, -- are independent identically distributed random variables with mean 0 and variance 1.Let Sn denote the partial sum Let Fn denote the information contained in Xi, .X,. Suppoe m n. (1) Compute El(Sn Sm)lFm (2) Compute ESm(Sn Sm)|F (3) Compute ES|]. (Hint: Write S (4) Verify that S -n is a martingale. [Sm(Sn Sm))2)
3. Suppose X1, X2, -- are independent identically distributed random variables with mean 0 and variance 1.Let Sn denote the partial sum...
74. Let X1, X2, ... be a sequence of independent identically distributed contin- uous random variables....
74. Let X1, X2, ... be a sequence of independent identically distributed contin- uous random variables. We say that a record occurs at time n if X > max(X1,..., Xn-1). That is, X, is a record if it is larger than each of X1, ... , Xn-1. Show (i) P{a record occurs at time n}=1/n; (ii) E[number of records by time n] = {}_1/i; (iii) Var(number of records by time n) = 2/_ (i - 1)/;2; (iv) Let N =...
Please answer this question using R 20. Let X1, X2, ..., X12 be a random sample...
Please answer this question using R
20. Let X1, X2, ..., X12 be a random sample from a Bernoulli distribution with unknown success probability p. We will test Ho: p = 0.3 versus Ha: p < 0.3, rejecting the null if the number of successes, Y = Dizi Xi, is 0 or 1. (a) Find the probability of a Type I error. (b) If the alternative is true, find an expression for the power, 1 – B, as a function...
Can someone help me with part (c), (with detailed explanation) Suppose that Xi,.. Xn are independent...
Can someone help me with part (c), (with detailed
explanation)
Suppose that Xi,.. Xn are independent and identically distributed Bernoulli random variables, with mass function P (Xi = 1) = p and P (Xi = 0) = 1-p for some p (0,1) (a) For each fixed p є (0,1), apply the central limit theorem to obtain the asymptotic distribution of Σ.Xi, after appropriate centering and normalisation. (b) Derive the moment generating function of a Poisson(A) distribution. (c) Now suppose that...
(i) Show that if X, 9X then aX+b aX + b for any real a and...
(i) Show that if X, 9X then aX+b aX + b for any real a and b. (ii) If X has zero mean and variance op, show that P(X 2 t) 2, fort > 0 (iii) Show that X, 0 if and only if EG .) +0, as n +. (iv) Let X1 X2, ... be independent and identically distributed random variables whose com- mon characteristic function satisfies '0) = in. Show that x;".
I need answer for example 1 . the probabilities of occurrence of these events are, respectively,...
I need answer for example 1 .
the probabilities of occurrence of these events are, respectively, p and (1-p). Let X denotes the number of successes. Here X can take the values 0 or 1. X is said to have a Bernoulli distribution. Definition: random variables X is said to have a Bernoulli distribution and is referred to as a Bernoulli random variable, if and only if its probability distribution is given by P(X = x) = p4" for x...
I don't understand a iii and b ii, What's the procedure of deriving the limit distribution? Thanks. 6. Extreme...
I don't understand a iii and b ii, What's the procedure of
deriving the limit distribution? Thanks.
6. Extreme values are of central importance in risk management and the following two questions provide the fundamental tool used in the extreme value theory. (a) Let Xi,... , Xn be independent identically distributed (i. i. d.) exp (1) random variables and define max(Xi,..., Xn) (i) Find the cumulative distribution of Zn (ii) Calculate the cumulative distribution of Vn -Zn - Inn (iii)...
5. (15 points) The shopping times of n = 64 randomly selected customers at a local...
5. (15 points) The shopping times of n = 64 randomly selected customers at a local supermarket were recorded. The average and variance of the 64 shopping times were 33 minutes and 356 minutes, respectively. Estimate u, the true average shopping time per customer, with a confidence coefficient of 1-a = 0.90. 6. (10 points) Let X1, X2, ..., Xn denote n independent and identically distributed Bernoulli random vari- ables s.t. P(X; = 1) = p and P(Xi = 0)...
MA2500/18 8. Let X be a random variable and let 'f(r; θ) be its PDF where...
MA2500/18 8. Let X be a random variable and let 'f(r; θ) be its PDF where θ is an unknown scalar parameter. We wish to test the simple null hypothesis Ho: 0 against the simple alternative Hi : θ-64. (a) Define the simple likelihood ratio test (SLRT) of Ho against H (b) Show that the SLRT is a most powerful test of Ho against H. (c) Let Xi, X2.... , X be a random sample of observations from the Poisson(e)...
3. Suppose X1, X2, -- are independent identically distributed random variables with mean 0 and variance 1.Let Sn denote the partial sum Let Fn denote the information contained in Xi, .X,. Suppoe m n. (1) Compute El(Sn Sm)lFm (2) Compute ESm(Sn Sm)|F (3) Compute ES|]. (Hint: Write S (4) Verify that S -n is a martingale. [Sm(Sn Sm))2)
3. Suppose X1, X2, -- are independent identically distributed random variables with mean 0 and variance 1.Let Sn denote the partial sum...
74. Let X1, X2, ... be a sequence of independent identically distributed contin- uous random variables. We say that a record occurs at time n if X > max(X1,..., Xn-1). That is, X, is a record if it is larger than each of X1, ... , Xn-1. Show (i) P{a record occurs at time n}=1/n; (ii) E[number of records by time n] = {}_1/i; (iii) Var(number of records by time n) = 2/_ (i - 1)/;2; (iv) Let N =...
Please answer this question using R
20. Let X1, X2, ..., X12 be a random sample from a Bernoulli distribution with unknown success probability p. We will test Ho: p = 0.3 versus Ha: p < 0.3, rejecting the null if the number of successes, Y = Dizi Xi, is 0 or 1. (a) Find the probability of a Type I error. (b) If the alternative is true, find an expression for the power, 1 – B, as a function...
Can someone help me with part (c), (with detailed
explanation)
Suppose that Xi,.. Xn are independent and identically distributed Bernoulli random variables, with mass function P (Xi = 1) = p and P (Xi = 0) = 1-p for some p (0,1) (a) For each fixed p є (0,1), apply the central limit theorem to obtain the asymptotic distribution of Σ.Xi, after appropriate centering and normalisation. (b) Derive the moment generating function of a Poisson(A) distribution. (c) Now suppose that...
(i) Show that if X, 9X then aX+b aX + b for any real a and b. (ii) If X has zero mean and variance op, show that P(X 2 t) 2, fort > 0 (iii) Show that X, 0 if and only if EG .) +0, as n +. (iv) Let X1 X2, ... be independent and identically distributed random variables whose com- mon characteristic function satisfies '0) = in. Show that x;".
I need answer for example 1 .
the probabilities of occurrence of these events are, respectively, p and (1-p). Let X denotes the number of successes. Here X can take the values 0 or 1. X is said to have a Bernoulli distribution. Definition: random variables X is said to have a Bernoulli distribution and is referred to as a Bernoulli random variable, if and only if its probability distribution is given by P(X = x) = p4" for x...
I don't understand a iii and b ii, What's the procedure of
deriving the limit distribution? Thanks.
6. Extreme values are of central importance in risk management and the following two questions provide the fundamental tool used in the extreme value theory. (a) Let Xi,... , Xn be independent identically distributed (i. i. d.) exp (1) random variables and define max(Xi,..., Xn) (i) Find the cumulative distribution of Zn (ii) Calculate the cumulative distribution of Vn -Zn - Inn (iii)...
5. (15 points) The shopping times of n = 64 randomly selected customers at a local supermarket were recorded. The average and variance of the 64 shopping times were 33 minutes and 356 minutes, respectively. Estimate u, the true average shopping time per customer, with a confidence coefficient of 1-a = 0.90. 6. (10 points) Let X1, X2, ..., Xn denote n independent and identically distributed Bernoulli random vari- ables s.t. P(X; = 1) = p and P(Xi = 0)...
MA2500/18 8. Let X be a random variable and let 'f(r; θ) be its PDF where θ is an unknown scalar parameter. We wish to test the simple null hypothesis Ho: 0 against the simple alternative Hi : θ-64. (a) Define the simple likelihood ratio test (SLRT) of Ho against H (b) Show that the SLRT is a most powerful test of Ho against H. (c) Let Xi, X2.... , X be a random sample of observations from the Poisson(e)...
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