6.11 In August 1976, tuberculosis was diagnosed in a high school student (indexcase) in Corinth, Mississippi. Subsequently, laboratory studies revealed thatthe student's disease was caused by drug-resistant tubercule bacilli. An epide-miologic investigation was conducted at the high school. Table E6.11 givesthe rates of positive tuberculin reaction determined for various groups of stu-dents according to the degree of exposure to the index case. Test to comparethe proportions of students with infection, high exposure versus low exposure;state clearly your null and alternative hypotheses and choice of test size.TABLE E6.11Exposure levelHighLowNumber tested129325Number positive6336

Given, For High exposure levels: sample size(n1) = 129 x1 = 63 sample proportion (p1^) = x1/n1=…

Answered: In August 1976, tuberculosis case) in…

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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Researchers were interested in assessing whether stress levels are different at the beginning of the semester compared to finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week. Participant Stress 1 Stress 2 Difference Score (Di) (Di - Mdiff)2 1 22 22 0 2 32 34 -2 3 24 25 -1 4 28 30 -2 5 26 29 -3 What is the observed test statistic (i.e., tobs)? Round to 2 decimal places.
True or False
Polyunsaturated fatty acids in the diet favorably affect several risk factors for cardiovascular disease. The principal dietary polyunsaturated fat is linoleic acid. Suppose we randomly selected twelve adults for our study. We took their blood pressure measurements (systolic blood pressure) at the start and recorded them for each adult. Then we placed required these adults to consume 23g/day of safflower oil which is high in linoleic acid for four weeks. At the end of the four weeks, we took another systolic blood pressure(SBP) measurement. The paired data is provided below: Subject 1 2 3 4 5 6 7 8 9 10 11 12 Baseline SBP 119.67 100.00 123.56 109.89 96.22 133.33 115.78 126.39 122.78 117.44 111.33 92.39 1-month SBP 117.33 98.78 123.83 107.67 95.67 128.89 113.22 121.56 126.33 110.39 107.00 93.06 Use the appropriate nonparametric test at alpha level of 0.05, to test whether the diet heavy in linoleic acid increases systolic blood pressure (SBP). Use Steps 0-5
A sample of 33 lights in Austin gives an average of 46 cars/min while the city SD=3.4 A sample of 34 Dallas lights give a mean of 44 cars/mim with the city SD=1.4 At the 91% level, do the towns differ? 1. Is the test (A-Left Tailed, B-Right Tailed, C-2-Tailed) (separate with comma if there are 2) 2. Critical Value 3. Test statistic 4. 3-decimal p-Value
Please help me!! this is all one question and i can not submit it untill it is all answered. I will rate please help The types of raw materials used to construct stone tools found at an archaeological site are shown below. A random sample of 1486 stone tools were obtained from a current excavation site. Raw Material Regional Percent of Stone Tools Observed Number of Tools as Current excavation Site Basalt 61.3% 902 Obsidian 10.6% 165 Welded Tuff 11.4% 166 Pedernal chert 13.1% 204 Other 3.6% 49 Use a 1% level of significance to test the claim that the regional distribution of raw materials fits the distribution at the current excavation site. (a) What is the level of significance?State the null and alternate hypotheses. H0: The distributions are the same.H1: The distributions are the same.H0: The distributions are the same.H1: The distributions are different. H0: The distributions are different.H1: The distributions are different.H0: The distributions are…
Please help it’s not graded
Random sample of team members average practice time. Team A: x-bar=52.3, s=9.7, n=125 Team B: x-bar=45.6, s=13.3, n=120 a) Does the data provide convincing statistical evidence that team B spends less time practicing, on average, than those on Team A? b) What type of error, Type I or Typy II, could have been made and the consequences?
Data from 500 random tornados was collected and the length in miles that the tornado was touching the ground was recorded. We want to test the claim that the mean tornado length is greater than 2.5 miles using a .05 significance level. Using the traditional method if the test statictic is .759, x hat = 2.72424 and s= .2956. Tell why you made the decision you did.
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