You may need to use the appropriate appendix table or technology to answer this question.Barron's reported that the average number of weeks an individual is unemployed is 16.5 weeks. Assume that for the population of all unemployed individuals the population mean length of unemploymentis 16.5 weeks and that the population standard deviation is 5 weeks. Suppose you would like to select a sample of 50 unemployed individuals for a follow-up study.(a) Show the sampling distribution of x, the sample mean average for a sample of 50 unemployed individuals.^1.5 6.5 11.5 16.5 21.5 26.5 31.5A-2.1-1.4 -0.7 0 0.7 1.4 2.1weeksweeks47.9 48.6 49.3 50 50.7 51.4 52.1weeks14.4 15.1 15.8 16.5 17.2 17.9 18.6weeks(b) What is the probability that a simple random sample of 50 unemployed individuals will provide a sample mean within 1 week of the population mean? (Round your answer to four decimal places.)(c) What is the probability that a simple random sample of 50 unemployed individuals will provide a sample mean within -week of the population mean? (Round your answer to four decimal places.)

Answered: Image /qna-images/answer/872befad-c096-42f0-8bc6-739a6bac2b74.jpg

Answered: sampling distribution of x, t

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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A clinical microbiology laboratory compared the frequency of isolation of DNA hybridization probe to a culture method for the sexually transmitted bacterium Neisseria gonorrhaeae. The frequency of isolation from clinical specimens was historically 10%. The lab ran 100 split samples, and the results are presented in the table below. Table. Comparison of the Distribution of Negative and Positive Results for the DNA Probe and Culture Methods. Culture Results DNA Probe Results Positive (D) Negative (D-) Positive (T) 8 4 Negative (T-) 2 92 What is the sensitivity of the test? I choose c wouldn't the sensitivity been 0.02 ? or my calculations is wrong A. 0.88 or 88% B. 0.8 or 80% C. 0.02 or 2% D. 0.81 or 81%
Test statistic and p value
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Distribution A x frequency 0 20 1 2 2 3 3 2 4 4 5 18 6 5 7 4 8 6 9 6 Distribution B x frequency 0 7 1 6 2 6 3 7 4 8 5 6 6 7 7 9 8 8 9 6 Both samples are the last digits of recorded weights of people. One of the samples came from measured weights, whereas the other sample resulted from asking people what they weigh. Identify which distribution came from which sample. Explain how you came to that conclusion. Notice that you can make a conclusion about the nature of the data by simply examining the distributions. Next, construct an “ideal” distribution of last digits x that would result from 100,000 people who were actually weighed. Estimate the mean and standard deviation of the last digits x in the ideal distribution. Finally, explicitly agree or disagree with the posts of at least 2 of your peers, and explain why you agree or…
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The Pearson s product moment correlation coefficient (r ) is derived by calculating the ratio of the _____________. between treatments variability / variability in X and Y separately variability in X and Y separately / the covariance of X and Y together between treatments variability / the total variability in the dataset the covariance of X and Y together / variability of X and Y separately
Random Variable X Directions: Compute the expected value, variance, and standard deviation for random variable X whose probability table is given below: Possible Outcome 8 10 12 14 0.1 0.4 0.4 0.1 Probability Probability Table for X 1. The Expected Value of X is E(X) 2. The Variance of X is Var(X) 3. The Standard Deviation of X is Std(X) Random Variable Y Directions: Compute the expected value, variance, and standard deviation for random variable Y whose probability table is given below: Possible Outcome 8 10 12 14 Probability 0.3 0.2 0.2 0.3 Probability Table for Y 1. The Expected Value of Y is E(Y) 2. The Variance of Y is Var(Y) 3. The Standard Deviation of Y is Std(Y)
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