Update:A certain company offers in-home cral HIV testing.According to their website, out of 4,998 personswho were unaware of their HIV status, 96 personswere HIV positive and 4,902 werc HIV negative (asdetermine by an independent lab test). For 4,901out of e 4,902 persons who were HIV negative,the company's test correctly predicted such anegative result, but incorrectly predicted a positiveresult for the one remaining person. Of the 96persons were HIV positive, the company's testcorrectlypedicted a positive result for 90 of themand a negative result for the others. These resultscan be summarized in the table belowPosNegTotalHIV90696No HIV 14,901 4,902914,907 4,998TotalEstimate P(HIV|Pos) for the population that thesample of 4,998 people represents. (Round to fourdecimal places as needed.)

Answered: A certain company offers in-home cral…

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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Similar questions

A warehouse manager wants to know if there is an association between the shift worked and being on time for work. To investigate, he selects a random sample of 70 workers and classifies each one according to the shift they worked most recently and whether they were on time for work. He was unable to classify a substantial number of people as being on time, so he classified those individuals as unknown. The data are displayed in the table. The manager would like to know if these data provide convincing evidence of an association between the shift worked and being on time in the large population of all workers at this warehouse. The random and 10% conditions are met. Is the Large Counts condition met? Yes, the smallest expected count is 5, so all expected counts are at least 5. Yes, the smallest expected count is 8.54, so all expected counts are at least 5. No, the smallest expected count is 2.56, so the expected counts are not all at least 5. No, the smallest expected count is…
In an article that appears on a website,† Carlton Gunn, a public defender in Seattle, Washington, wrote about how he uses statistics in his work as an attorney. He states the following. I personally have used statistics in trying to challenge the reliability of drug testing results. Suppose the chance of a mistake in the taking and processing of a urine sample for a drug test is just 1 in 100. And your client has a "dirty" (i.e., positive) test result. Only a 1 in 100 chance that it could be wrong? Not necessarily. If the vast majority of all tests given—say 99 in 100—are truly clean, then you get one false dirty and one true dirty in every 100 tests, so that half of the dirty tests are false. Define the following events as given below. TD = event that the test result is dirty TC = event that the test result is clean D = event that the person tested is actually dirty C = event that the person tested is actually clean (a) Using the information in the quote, compute the following…
AD (Alzheimer's disease) causes progressive cognitive impairment. A diagnostic blood test for AD was proposed. An evaluation of the blood text involved fifty known AD patients and forty control who did not have AD. Of those who had AD, forty eight tested positive on the blood test and two tested negative. Of those without AD, three tested positive on the blood test and thirty seven tested negative. f. What is the PPV? Use this in a sentence explaining to a person what their positive test results suggests.
A Doctor is interested in the proportion of Lyon county residents who were infected with covid-19 virus. There were 425 covid-19 cases reported among 25474 residents in Lyon county a.What is the experimental unit in this experiment? b.What is the population in this experiment? c. What is a parameters considered in this experiment? d. What is a statistics in this experiment? e. What variables should pollster collect in this experiment?
The Department of Statistics Malaysia (DOSM) conducted another study on the monthly grossincome (in RM) in Malaysia for 2017. Another four states are selected and the data obtained areshown in Table 2. The Boxplot of the data is given in Figure 1
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Please answer part a-d with correct answer.
A health psychologist investigated dietary differences between middle class Hispanic and Black women. One dietary practice examined was the consumption of mutagen-containing meats (defined as smoked, grilled, or fried meat). Based on the contingency table below, is there a reason to believe there a difference between women with respect to their consumption of mutagen-containing meat servings per day. What can be concluded with an a of 0.01? Ethnicity Мeat Hispanic Black 0-1 68 75 serving 2-3 45 19 serving 4+ 11 37 serving a) Select and compute the appropriate statistic. ---Select--- %3D b) Obtain/compute the appropriate values to make a decision about Ho. p-value ; Decision: ---Select--- c) Compute the corresponding effect size(s) and indicate magnitude(s). If not appropriate, input and/or select "na" below. Effect Size = ; Magnitude: ---Select-- d) Make an interpretation based on the results. O There is a significant negative relationship between middle class and food preference.…

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