54.2. Suppose X is a random sample of size n = 1 from a uniform distribution...
A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x, is found to be 109, and the sample standard deviation, s, is found to be 10 (a) Construct a 98% confidence interval about if the sample size, n, is 29. (b) Construct a 98% confidence interval about if the sample size, n, is 13. (c) Construct an 80% confidence interval about if the sample size, n, is 29. (d) Could...
A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x, is found to be 115, and the sample standard deviation, s, is found to be 10 (a) Construct a 98% confidence interval about if the sample size, n, s 14 (b) Construct a 98% confidence interval about μ if the sample size, n, is 19 (c) Construct a 99% confidence interval about if the sample size, n, s 14 (d)...
Let X be the mean of a random sample of size n = 75 from the uniform distribution on the interval (0,4), .e 0, otherwise. Approximate the probability P(1.84 < X 〈 2.16).
Let X be the mean of a random sample of size n = 75 from the uniform distribution on the interval (0,4), .e 0, otherwise. Approximate the probability P(1.84 < X 〈 2.16).
X denote the mean of a random sample of size 25 from a gamma type distribu- tion with a = 4 and β > 0. Use the Central Limit theorem to find an approximate 0.954 confidence interval for μ, the mean of the gallina distribution. Hint: Use the random variable (X-43)/?7,/432/25. 6. Let Yi < ½ < < }, denote the order statistics of a randon sample of size n from a distribution that has pdf f(z) = 4r3/04, O...
Show that the mean X bar of a random sample of size n from a distribution having probability density function f(x;θ)=(1/θ)e-(x/θ) , ,0 < x < ∞ , 0 < θ < ∞ , zero elsewhere, is an unbiased estimator of θ and has variance θ2/n.
Let X1, ..., X50 denote a random sample of size 50 from the geometric distribution f(x; θ) = θ(1 − θ) x−1 for x = 1, 2, ... and 0 < θ < 1. Suppose that after taking the observations we find that ¯x = 5. 8. a) Find the maximum likelihood estimator ˆθ of θ. b) Find E[X¯] and var(X¯). c) Use part (b) above together with the CLT and delta method to find the limiting distribution of √...
X i , x , X" be a random sample of size n from an exponential distribution with mean ? a) For large sample size, construct a 95% confidence interval for ?? b) If n 30, x 90, give the endpoints for a 90% CI for ?
7.5 Suppose you draw a random sample of size n from a normal distribution with unknown mean u and known standard deviation o and construct a 95% confidence interval for u. If you want to halve the margin of error, how much larger would the sample size have to be?
A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x overbar x, is found to be 107, and the sample standard deviation, s, is found to be 10. (a) Construct a 98% confidence interval about mu μ if the sample size, n, is 18. (b) Construct a 98% confidence interval about mu μnif the sample size, n, is 12. c) Construct a 96% confidence interval about mu μ if...