Let the weight of bags follow the distribution with mu = 10.5 , sigma = 0.2 respectively. Find the probability that the sample mean weight of these 100 bags exceeded 10.6 ounces.
Let the weight of bags follow the distribution with mu = 10.5 , sigma = 0.2...
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?
The amount of corn chips dispensed into a 13-ounce bag by the dispensing machine has been identified as possessing a normal distribution with a mean of 13.5 ounces and a standard deviation of 0.3 ounce. Suppose 40 bags of chips were randomly selected from this dispensing machine. Find the probability that the sample mean weight of these 40 bags exceeded 13.6 ounces.
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...
Suppose a normally distributed numerical variable X has MU = 15 and Sigma = 6. Answer the following questions about the sampling distribution of the mean if the sample size is 100. 1. The sampling distribution of X bar is (blank) distributed with mu X bar = (blank) and sigma X bar = (blank). (fill in the blanks) 2. Suppose a random sample is chosen. what is the probability that this selected sample mean is less than 14.2? 3. What...
The population of IQ scores forms a normal distribution with mu equals space 100 and sigma space equals space 15. If you take a random sample of 25 people who have taken the IQ test, what is the probability of obtaining a sample mean greater than M = 103? p = 0.8413 p = 0.5793 p = 0.4207 p = 0.1578
Exercise 3: The Normal Distribution. The function NORMDIST(x, mu, sigma, TRUE) computes the probability that a normal observation with a fixed mean (mu) and standard deviation (sigma) is less than x. There is also a function for computing the inverse operation: the function NORM INV(p, mu, sigma) putes a value x such that the probability that a normal observation is less than x is com equal to P. A) Compute the probability that an observation from a N(3, 5) population...
25. A manufacturing process produces bags of cookies. The distribution of content weights of these bags is Normal with mean 16.0 oz and standard deviation 0.8 oz. We will randomly select n bags of cookies and weigh the contents of each bag selected. If 100 bags of cookies are selected randomly, the probability that the sample mean will be between 15.84 and 16.16 ounces is a) 0.046. Ob) 0.110. c) 0.890. d) 0.954.
Let us assume that the weights of bags of dog food are normally distributed with a mean of 50 lb and a standard deviation of 2.5 lb. (a) Describe the shape and horizontal scaling on the graph of the distribution for the population of all weights of bags of fertilizer. (b) Find the probability that the weight from a single randomly selected bag will be less than 46 lbs. Based upon your results, would it be unusual to find an...
Let S(t), t >=0 be a Geometric Brownian motion process with drift mu = 0.1 and volatility sigma = 0.2. Find P(S(2) >S(1) > S(0))
Let X1, X2,...,Xn be a sample from a N(Mu,sigma squared). Find the method of moments estimator of Mu and sigma squared.