Answered: How do you find the likelihood ratio?

Math

Statistics

How do you find the likelihood ratio?

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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The boxplot below shows salaries for Construction workers and Teachers. Construction Teacher 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 Salary (thousands of $) If a person is making the first quartile salary for a construction worker, they are making more than what percentage of Teachers? They are making more than % of Teachers.
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Diagnostic tests of medical conditions have several results. The rest result can be positive or negative. A positive test (+) indicates the patient has the condition. A negative test (–) indicates the patient does not have the condition. Remember, a positive test does not prove the patient has the condition. Additional medical work may be required. Consider a random sample of 137 patients, some of whom have a medical condition and some of whom do not. Results of a new diagnostic test for the condition are shown. Condition Present Condition Absent Row Total Test Result + 119 18 137 Test Result – 18 46 64 Column Total 137 64 201 Assume that the sample is representative of the entire population. For a person selected at random, find P(getting test result – or condition present). Round your answer to the nearest hundredth.
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how to solve this Suppose that you take 1000 simple random samples from a population and that, for each sample, you obtain a 95% confidence interval for an unknown parameter. Approximately how many of those confidence intervals will contain the value of the unknown parameter?
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You run a house flipping business where you buy thousands of houses across the country, hire contractors to fix them up, and try to sell them. For any given house, you figure there is a 50%/50% chance of gaining 60% or losing 40%. This means your expected return per house is 0.5x0.60+0.5x(-0.40) = 0.10 = 10%. The variance per house is 0.5x(0.60-0.10)2 + 0.5x(-0.40-0.10)2 = 0.25. If the covariance between houses is 0.10, what is the variance of your portfolio of thousands of houses
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