R-Code
#Defining the function
tail_moments=function(n,alpha)
{
z=rnorm(n)
#Taking random sample from N(0,1)
pos=which(z>alpha)
#Finding the position of varaibles having value > alpha
z_alpha=z[pos]
#Selecting the numbers
theta_alpha=mean(z_alpha) #Finding the conditional mean
return(theta_alpha)
#Returning the value
}
t=tail_moments(10000,0) #Calling the function tail_moments
Tail Moments of the Standard Normal Distribution. Your goal is to estimate the following conditional moment...
Standard Normal distribution. With regards to a standard normal distribution complete the following: (a) Find P(Z > 0), the proportion of the standard normal distribution above the z-score of 0. (b) Find P(Z <-0.75), the proportion of the standard normal distribution below the Z-score of -0.75 (c) Find P(-1.15<z <2.04). (d) Find P(Z > -1.25). (e) Find the Z-score corresponding to Pso, the 90th percentile value.
Please show the work ! Find the value of Z for the standard normal distribution such that the area a) in the left tail is 0.1000 b) between 0 and Z is 0.2291 and Z is positive c) in the right tail is 0.0500 d) between 0 and Z is 0.3571 and Z is negative 1) 2) Find the following binomial probabilities using the normal approximation a) n- 70, p-0.30, P(x-18) b) n-200, p 0.70, P(133 x S 145) c)...
2. Suppose that you can draw independent samples (U,, U2,U. from uniform distribution on [0,1]. (a) Suggest a method to generate a standard normal random variable using (U, U2,Us...) Justify your answer. b) How can you generate a bivariate standard normal random variable? (Note that a bivariate standard normal distribution is a 2-dimensional normal with zero mean and identity covariance matrix.) (c) What can you suggest if you want to generate correlated normal random variables with covariance matrix Σ= of...
1. Let Xi, X2,... be independent random variables each with the standard normal distribution, and for each n 2 0 let Sn-1 Xi. Use importance sampling to obtain good estimates for each of the following probabilities: (a) Pfmaxn<100 Sn> 10; and (b) Pímaxns100 Sn > 30) HINTS: The basic identity of importance sampling implies that d.P n100 where Po is the probability measure under which the random variables Xi, X2,... are independent normals with mean 0 amd variance 1. The...
1. Let 2 ~ N (0,1). Using a standard normal table, find the following probabilities. You do not need to provide any equation. Instead, draw pictures as we did in the lecture and find the numbers from the table. Make yourself be familiar with using different kinds of tables. (Hint: The standard normal density is symmetric around zero.] (a) P(Z < 0) (b) P(Z < 1.96) (c) P(Z < 1.96) (d) P(Z = 1.96) (e) P(-1.65 < 2 <0) (f)...
1. Let X1, X2,... be independent random variables each with the standard normal distribution, and for each n 0 let Sn 너 1 i. Use importance sampling to obtain good estimates for each of the following probabilities: (a) P[maxns 100 Sn > 10); and (b) P[maxns100 Sn > 30 HINTS: The basic identity of importance sampling implies that n100 where Po is the probability measure under which the random variables Xi, X2,... are independent normals with mean 0 amd variance...
State whether the following statement is True or False. The area under the standard normal distribution curve from negative infinity to infinity is 1. Use the normalcdf feature on the calculator to find the specified area under standard normal distribution curve. Round your answers to four de the nearest ten-thousandth). To the right of z = 1.13 Question 3 (6 points) On the daily run of an express bus, the average number of passengers is 48. The standard deviation is...
mpirical Rule data set which is mound-shaped or approximately mound-sha Forroximately normal), the following statements will hold: 68% of the observations will lie within μ ~95% of the observations will lie within μ -99.7% of the observations will lie within (i.e., normal or app σ 2σ . 3 . Consider a r.v., Z, with a standard normal distribution. We can co Empirical Rule using the Standard Normal Table. nfirm each of the statements in the Note,' Since Z ~ N...
1. Assuming age fits a normal distribution (it definitely does not!) with your mean and standard deviation. Note: The answers will seem ridiculous! (a) Draw the normal curve with the usual labels for the 68-95-99.7 rule. (b) 68% of students are between what two ages? (c) 95% of students are between what two ages? (d) 99.7% of students are between what two ages? (e) 50% of students are older than what age? (f) 34% of students are between what two...
Standard Normal Distribution table for negative z Test the hypothesis using the value approach. Be sure to verify the requirements of the test. Ho p=0.5 versus Hyp>0.5 n-200 120,0.05 Click here to view page 1 of the table. Click here to view.990 2 of the table. Calculate the best statistic, 2 IN SU NU HT BUERTO Zg (Round to two decimal places as needed) Identify the pa MOOD MO DO -44 -U - - - -2.9 -2. . 007 0.000...