Monday, September 16, 2013


Suppose that we will randomly select a nose drops of 64 measurements from a cosmos having a cogitate similitude to 20 and a standard deviation equal to 4. ---------------------------------------- a. bring up the shape of the taste diffusion of the render stiffs ×. autonomic nervous system: Nearly normal according to the cardinal rebound theorem. ------------------------- Do we need to describe whatsoever as amountptions about the shape of the creation? Why or why not? Ans: chip the statement of the Central Limit Theorem in your text. ------------------------- b. Find the mean and the standard deviation of the sampling diffusion of the sample mean ×. mean of the sample factor = 20 std of the sample means = 4/sqrt(64) = 1/2 --------------------------------- c. Calculate the probability that we will obtain a sample mean greater than 21; that is, omen P (x- seal off > 21). breaking wind: Find the z value corresponding to 21 by using µx and ?x beca use we wish to calculate a probability about x. Then sketch the sampling statistical distribution and the probability. z(21) = (21-20)/[1/2] = 2 --- P(x-bar > 21) = P(z > 2) = 0.0228 ---------------------------------- d. Calculate the probability that we will obtain a sample mean less than 19.385; that is, calculate P (x-bar < 19.385) ---- z(19.385) = (19.385-21)/(1/2) = -3.2300 --- P(x-bar < 19. is a professional essay writing service at which you can buy essays on any topics and disciplines! All custom essays are written by professional writers!
385) = P(z < -3.2300) = 0.00061901 OR a. by central limit theorem, the distribution of x bar is ordinarily distributed. so it has a bell shape. and we dont need to make any assumptions about the shape of the popula tion. (to be more precise, the distribution ! of population should not be too extreme e.g. unitary transfix on only one value.) if we have a grapple of measurements, the x bar will converge in distribution to normal from Central Limit Theorem. b. mean(x bar) = 1/n sum from 1 to n mean(x_i) = 1/n * n * mean(x_1) because both x_i are identically and independently distributed. = mean(x_1) = mean(x) = 20 sd(x_bar) = sd(x)/ sqrt(n) = 4/8 = 1/2 c. z value = (21...If you indirect request to get a dear essay, order it on our website:

If you want to get a full essay, visit our page: write my paper

No comments:

Post a Comment