8.1.15Suppose a simple random sample of size n 49 is obtained from a population with u 79 and a =14.(a) Describe the sampling distribution of x.(b) What is P (x> 82.9)?(c) What is P (xs74.7)?(d) What is P (76.3 82.9)=Enter your answer In the answer box and then click Check Answer.Clear Allpartsremaining

(a)From the given information, sample size is n = 49. From the central limit theorem if the sample…

Answered: 8.1.15 Suppose a simple random sample…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Use a t-test to test the claim about the population mean y at the given level of significance a using the given sample statistics. Assume the population is normally distrbuted Claim: jI * 25; a = 0.01 Sample statistics: × = 25.1, s = 4.2, n= 11
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Which random graph G(N, p) has (k) = 40 and variance o² of the degree distribution given by o² = 20?. Select one: O a. p= 1/2, N = 61 O b. p = 0.25, N = 161 O c. p = 2, N = 80 O d. None of the above.
5.3 Hypergeometric Distribution Definition. A hypergeometric experiment is one that possesses the following properties: 1) A random sample of sizen is selected without replacement from a population on N items. 2) k of the N items may be classified as successes and N-k as failures. Definition X~ Нур(N,n, К) Hypergeometric Distribution If the discrete random variable X is defined as the number of successes in a hypergeometric experiment, then it has the hypergeometric distribution with probability mass function KN - K n - x x = max(0, n - N + K), , min(n, K); ... p(x) = N. n = 1, 2, ..., N п (0, otherwise. The mean and variance of X are given by ux = K n- and K = n N |1-4N-n N - 1 K , respectively. N
A population consists of 1, 1, 1, 2, 2, 3 and 4 (i) List all possible samples of size n= 3 without replacement. (ii) Obtain the sampling distribution of X. (iii) Verify that: uz =u and N - n N - 1
Suppose a simple random sample of size n equals 1000 is obtained from a population whose size is N equals 2 comma 000 comma 000 and whose population proportion with a specified characteristic is p equals 0.75. Complete parts (a) through (c) below.
Please answer parts B,C and D
I need help with this question. Can you please go step by step because I am very confused?
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Need help with parts (B) , (C), AND (D), please. 9
Q1: Suppose the number of customers X that enter a store between the hours 9:00 a.m. and 10:00 a.m. follows a Poisson distribution with parameter 0. Suppose a random sample of the number of customers that enter the store between 9:00 a.m. and 10:00 a.m. for 10 days results in the values 9, 7, 9, 15, 10, 13, 11, 7, 2, 12 Determine the maximum likelihood estimate of 0. Show that it is an unbiased estimator. Q2: Assume that X is a discrete random variable with pmf f(x). Let X₁,...,X₁ be a random sample on X. Suppose that the space of X is finite, say, D={a₁,...,m}. An intuitive estimate of p(a) is the relative frequency of a, in the sample. We express this more formally as follows. For j=1, 2,..., m, define the statistics 1,(X) = {1 0 X₁ = a; X₁ = a; Then the intuitive estimate of p(a)) can be expressed by the sample average p(a) = -1,(X₂) Find the unbiased estimator and the variance of the estimator and its mgf.

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