for estimating a as an unbiased estimator, find the value of a, supposingpopulation is very large and for every sampleg? = (x; -x?).2%3DΣn 28.If si, s2, .., s, are r sample variances based on random samplesof sizes n1, n2, .., n, respectively, and if t is some statistic given by.2+ n2s2+ ...+ n,s,N =a

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Answered: Jor estimating a as an unbiased…

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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CALL CENTERExcopt for PANAMA) 1-800-SAMSUNG (1-800-726-75 6. For a population with a mean of u = 100 and a standard deviation of o = 20, a. Find the z-score for each of the following X values. X = 108 X = 115 X = 130 %3D %3D %3D X = 90 b. Find the score (X value) that corresponds to each of the following z-scores. X = 88 X = 95 z = -0.40 z = -0.50 z = 1.80 z = 0.75 Z = 1.50 Z = -1.25
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Executives of a supermarket chain are interested in the amount of time that customers spend in the stores during shopping trips. The mean shopping time, µ, spent by customers at the supermarkets has been reported to be 40 minutes, but executives hire a statistical consultant and ask her to determine whether it can be concluded that u is greater than 40 minutes. To perform her statistical test, the consultant collects a random sample of shopping times at the supermarkets. She computes the mean of these times to be 44 minutes and the standard deviation of the times to be 15 minutes. Based on this information, answer the questions below. What are the null hypothesis (H,) and the alternative hypothesis (H,) that should be used for the test? Hiµ is ? H: p is ? In the context of this test, what is a Type II error? A Type II error is ? fact, u is ? the hypothesis that u is when, in Suppose that the consultant decides not to reject the null hypothesis. What sort of error might she be making?
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A study is conducted to determine factors in solving missing persons cases. The outcome is Y; which is equal to 1 if the i-th missing person case is unsolved and 0 if it is solved. Let covariate X1; be an indicator equal to 1 if the i-th case is female and 0 for male. Let X2i be a categorical covariate of age group for the i-th case. Categories are less than 14 years old (base level/group), between 14 and 19 years old, and older than 19 years. Set u = P(Y = 1) and the following model is fit: logit(u) = Bo + BịI(Female) + B2I(14 to 19 yrs old) + B3I(> 19 yrs old) The output from the model is below: Estimate S.E. p-value Bo -4.565 0.128 0.380 0.087 B2 Вз -0.198 0.042 0.163 1.128 0.133 a. Using the logistic regression output, calculate the estimated odds ratio of a case being unsolved (again Y=1 is unsolved and Y=0 is solved) comparing females to males (female is the numerator odds) of the same age. Interpret this odds ratio in context of the problem. iii b. Create a 95% confidence…
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Jor estimating a as an unbiased estimator, find the value of a, supposing population is very large and for every sample E (x; – x?). |