Suppose a simple random sample of size n = 64 is obtained from a population that is skewed right with p=82 and σ = 24.(a) Describe the sampling distribution of x.(b) What is P (x>86.8)?(c) What is P (xs75.25)?(d) What is P (80.5

Answered: Suppose a simple random sample of size…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Let X₁, X₂, ..., Xn be a random sample of size n from a geometric distribution for which p is the probabil- ity of success. (a) Use the method of moments to find a point estimate for p. (b) Explain intuitively why your estimate makes good sense.
Kindly answer it
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.
Suppose a sample of size n is drawn from a population where the population standard deviation is known. In order to use the Central Limit Theorem, we would have to know that A n > 30 B The population is normally distributed. C n > 30 OR the population is normally distributed D n > 30 AND the population is normally distributed
The Grocery Manufacturers of America reported that 66.00% of consumers read the ingredients listed on a product's label. Assume the population proportion is p = 0.66 and a sample of 450 consumers is selected from the population. a. Show the sampling distribution of the sample proportion, where is the proportion of the sampled consumers who read the ingredients listed on a product's label. E(p) = (to 2 decimals) op= (to 4 decimals) b. What is the probability that the sample proportion will be within ±0.03 of the population proportion (to 4 decimals)? c. Answer part (b) for a sample of 660 (to 4 decimals).
QUESTION 1 a) Let X₁, X2, X3,..., Xn be a random sample of size n from population X. Suppose that X follows an exponential distribution with parameter and Y = =-=1X₁. 19 iii) What is the value of sample size n, if P(|Y - 2n| < 40) ≥ 0.025? iv) Use the Central Limit Theorem to compute P(100
Suppose that 77% of the students at a small private university carry student loans. For a SRS of students at this university, let P(hat) be the sample proportion of the students who carry student loans. How large would a sample from this population need to be to ensure that the distribution of the sample proportion is normally distributed?
How do you solve this statistics question without using code? Find P(X1 > X2)
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.
A sample of 34 observations is taken from a population that has 150 elements. The sampling distribution of x̄ is: approximately normal if the population is not highly skewed. approximately normal because of the central limit theorem. approximately normal only if the population is normally distributed. approximately normal because x̄ is always approximately normally distributed.

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

Suppose a simple random sample of size n = 64 is obtained from a population that is skewed right with μ= 82 and σ = 24. (a) Describe the sampling distribution of x. (b) What is P (x86.8)? (c) What is P (x≤75.25)? (d) What is P (80.5