The following questions were answered, Please create bell shaped graph to reflect answers.
Week 6 Chapter 6: The Normal Distribution For this week read Chapter 6 Answer the following question: Question 1 Given a normal distribution with µ=15 and σ = 5, what is the probability that
= Z = X - µ = 20 – 15 = 1 σ 5 5 We have to find P( Z >1) P(Z >1) = 1 – P(Z >1) = = 1 – 0.8413 = 0.1587 (Using z table)
= Z = X - µ = 20 – 15 = 1 σ 5 5 We have to find P( Z<1) P( Z<1) = 0.8413 (Using z table)
Question 2 Given a normal distribution with µ =15 and σ =5, what is the probability that 5% of the values are less than what X values? We have to find z corresponding to P(Z < z) = 0.05 z = -1.64 (Obtained using standard normal distribution table) z = (x - µ)/σ -1.64 = (x - 15)/5 x = 15 - 1.64*5 x = 6.8 5% of the values are less than 6.8
For determining the two values of X (x1 and x2), first we need to determine corresponding z-values (z1 and z2). Following is the normal distribution graph that indicates z-values to be calculated. The area highlighted represent 95% of the values As we know that total area under normal distribution curve is 1. The area under highlighted portion represent 95% of the total area that is 0.95. Since distribution is symmetrical around the mean so the area under two portion that are not highlighted will be same = (1-0.95)/2 = 0.05/2 = 0.025. In terms of z, these two non-highlighted portions can be written as: P(Z < z1) = 0.025 and P(Z > z2) = 0.025 z1 = -1.96 and z2 = 1.96 (Obtained using standard normal table) Now, x values corresponding to these z values can be computed using following formula: z = (x-µ)/σ For x1 z1 = (x1-µ)/σ -1.96 = (x1-15)/5 x1 = 15-1.96*5 x1 = 5.2 For x2 z2 = (x2-µ)/σ -1.96 = (x2-15)/5 x2 = 15+1.96*5 x2 = 24.8 Hence, it can be said that the 95 % of the values lies between 5.2 and 24.8 |
The following questions were answered, Please create bell shaped graph to reflect answers. Week 6 Chapter...
Independent random samples X1, X2, . . . , Xn are from exponential distribution with pdfs , xi > 0, where λ is fixed but unknown. Let . Here we have a relative large sample size n = 100. (ii) Notice that the population mean here is µ = E(X1) = 1/λ , population variance σ^2 = Var(X1) = 1/λ^2 is unknown. Assume the sample standard deviation s = 10, sample average = 5, construct a 95% large-sample approximate confidence...
Standard Normal Distribution Binomial Distribution 21 22 Area to the left of zi Area to the left of z2 Desired Area N p X p(x) To find: Area Between Area Between 1.. 20 0.3 0.2 -1.2 0. Task 1 Compute the values in the highlighted cells 6 60 9 10 11 12 13 14 15 16 17 18 19 20 E(x) = Var(x) Task 2 Compute values in the highlighted cells and draw pdf
Only need parts c, e, j, m, and p only need parts c, e, j, m, and p 15. Suppose that X i ~ N(, σ*), i = 1, . . . , n and Zi ~ N(0, 1), i-1, , k, and all variables independent. State the distribution of each of the following variables if it is a "named" distribution or otherwise state "unknown." (a) X1-X2 (i) (b) X2 + 2X3 () Z2 We were unable to transcribe this...
We can now use the Standard Normal Distribution Table to find the probability P(-0.25 sz s 1). 0.05 0.06 0.07 0.08 0.09 -0.2 0.4013 0.3974 0.3936 0.3897 0.3859 0.00 0.01 0.02 0.03 0.04 Using these 1.0 0.8413 0.8438 0.8461 0.8485 0.8531 The table entry for z = -0.25 is 0.00 and the table entry for z = 1 is values to calculate the probability gives the following result. PC-0.25 sz s 1) P(Z < 1) - P(Z 5 -0.25) 10....
Consider the following point estimators, W, X, Y, and Z of μ: W = (x1 + x2)/2; X = (2x1 + x2)/3; Y = (x1 + 3x2)/4; and Z = (2x1 + 3x2)/5. Assuming that x1 and x2 have both been drawn independently from a population with mean μ and variance σ2 then which of the following is true...Which of the following point estimators is the most efficient? A. Z B. W C. X D. Y An estimator is unbiased...
Random samples of two species of iris gave the following petal lengths (in cm). x1, Iris virginica 5.1 5.9 4.5 4.9 5.7 4.8 5.8 6.4 5.7 5.9 x2, Iris versicolor 4.5 4.3 4.7 5.0 3.8 5.1 4.4 4.2 (a) Use a 5% level of significance to test the claim that the population standard deviation of x1 is larger than 0.55. What is the level of significance? State the null and alternate hypotheses. H0: σ = 0.55; H1: σ > 0.55...
Question 7 6 pts . If a continuous randaom variable X has a bell curve (normal distribution with mean 5 and variance 25, using the z table I gave you, find P(X < 5) Note X is continuous, X<5 same as X < =5 ) If a discrete randaom variable X has a approximate bell curve (normal) . distribution with mean 5 and variance 25, using the z table I gave (Here X<5 is not the same as X you,...
Please answer the marked questions.......... Please show your work............. EXERCISES Some of the following exercises require the use of a computer and 8.10 sof Use the t table (Table 4) to find the following values a. t 10, 15 Use the t table (Table 4) to find the following values8.10 8,93 b. 10,23 c. t025, 83 d. t o5,195 8.94 of t. to1, 20 10,600 C. t0d. t 05,4 005, 33 8.10 Use a computer to find the following values...
1) Let X and Y be random variables. Show that Cov( X + Y, X-Y) Var(X)--Var(Y) without appealing to the general formulas for the covariance of the linear combinations of sets of random variables; use the basic identity Cov(Z1,22)-E[Z1Z2]- E[Z1 E[Z2, valid for any two random variables, and the properties of the expected value 2) Let X be the normal random variable with zero mean and standard deviation Let ?(t) be the distribution function of the standard normal random variable....
for these questions I need help on just the questions on all of them where it says "what is the value of the sample test statistic?" 24.) The average annual miles driven per vehicle in the United States is 11.1 thousand miles, with σ ≈ 600 miles. Suppose that a random sample of 36 vehicles owned by residents of Chicago showed that the average mileage driven last year was 10.9thousand miles. Does this indicate that the average miles driven per...