Exercise 3: The Normal Distribution. The function NORMDIST(x, mu, sigma, TRUE) computes the probability that a...
1. Giving a normal distribution with mean mu=35 and standard deviation sigma = 10 where the probability that x is less than x0 is p0 = 0.95 what is the value for x0. 2.Giving a normal distribution with mean mu=35 and standard deviation sigma =10 where the probability that x is greater than x0 is 0.10. 3. Giving a normal distribution with mean mu=40 and standard deviation sigma = 10 where the probability that x0<x<x1 = 0.9. What is the...
Assume that IQ's follow a Normal distribution with a mean mu=100 and standard deviation sigma=16. What is the probability that no more than 5 people in a random sample of size n=9 have IQ's between 90 and 110?
Given a normal distribution with mu equals 103 and sigma equals 25, and given you select a sample of n equals 25, complete parts (a) through (d). a. What is the probability that X is less than 93? P( X < 93)= b. What is the probability that X is between 93 and 95.5? P(93< X than 95.5)= c. What is the probability that X is above 104.8? P( X > than 104.8)= d. There is a 63% chance that...
(b) Write a Ruby function sigma that uses your function mean and computes the standard deviation of an arbitrary number of arguments. Function calls sigma (1,2,1,2) , sigma (1) and sigma should respectively return 1 ,0,and "No arguments". (Hint: the standard deviation is the square root o variance, and variance is the mean value of squares minus the square of the mean value) (c) Write a Ruby function stat that computes and returns the mean value, standard deviation, and the...
1) Suppose you have a normal distribution with known mu = 11 and sigma = 6. N(11,6). Using the 68,95,99.7 rule, what is the approximate probability that a value drawn from this distribution will be: a. Between 5 and 17? b. Between -1 and 23? c. Greater than 16? d. Less than -1? e. Less than 23? 2) Suppose you have a normal distribution with known mu = 8 and sigma = 2. N(8,2). Compute the Z---score for: a. X...
Question 11 Normal mu 2.09 sigma 0.21 xi P(X<=xi) 1.61 0.0111 1.76 0.0580 2.39 0.9234 2.53 0.9819 P(X<=xi) xi 0.10 1.8209 0.20 1.9133 0.30 1.9799 0.40 2.0368 Normal mu 2.09 sigma 0.24 xi P(X<=xi) 1.61 0.0228 1.76 0.0846 2.39 0.8944 2.53 0.9666 P(X<=xi) xi 0.10 1.7824 0.20 1.8880 0.30 1.9641 0.40 2.0292 The mean weight for a part made using a new production process is 2.09 pounds. Assume that a normal distribution applies and that the standard deviation is 0.24...
A normal distribution has mean LaTeX: \mu=14μ = 14 and standard deviation LaTeX: \sigma=3σ = 3. Find and interpret the z-score for LaTeX: x=11x = 11.
Given a normal distribution, X, with mean, 110, and standard deviation, sigma = 46. A. What is the X value with Z-score equal to z = 0.65? B. What is the probability of X is less than or equal to 146.9? %
Given a normal distribution, X, with mean, 110, and standard deviation, sigma = 46. A. What is the X value with Z-score equal to z = 0.65? B. What is the probability of X is less than or equal to 146.9? %
Given a normal distribution, X, with mean, 150, and standard deviation, sigma = 42. A. What is the X value with Z-score equal to z = 2.77? B. What is the probability of X is less than or equal to 266.3? %