Exercises 2:A clinical trial is run to assess the effectiveness of a new anti-retroviral therapy for patients with HIV. Patients arerandomized to receive a standard anti-retroviral therapy (usualcare) or the new anti-retroviral therapy and are monitored for3 months. The primary outcome is viral load which representsthe number of HIV copies per milliliter of blood. A total of 30participants are randomized and the data are shown below.Is there statistical evidence of a difference in viral load inpatients receiving the standard versus the new anti-retroviraltherapy?StandardTherapyNewTherapy7500 8000 2000 550 |1250 1000 2250 6800 3400 6300|9100|970 |1040|670 |400400 250 800 1400 8000 7400| 1020 6000 920 |1420| 2700 4200|5200|4100 undetectable

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Answered: Exercises 2: A clinical trial is run to…

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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You may need to use the appropriate technology to answer this question. How long it takes paint to dry can have an impact on the production capacity of a business. An auto body & paint business invested in a paint-drying robot to speed up its process. An interesting question is, "Do all paint-drying robots have the same drying time?" To test this, suppose we sample five drying times for each of different brands of paint-drying robots. The time in minutes until the paint was dry enough for a second coat to be applied was recorded. Suppose the following data were obtained. Robot 1 129 137 135 124 140 Robot 2 143 133 142 146 131 Robot 3 Robot 4 133 O Hoi H₁ H₂ H3 #44 H₂H₁ H₂ H3 H4 142 136 137 132 O H₂H₁ = H₂ = H3 H4 H₂: Not all the population means are equal. 151 O Ho: Not all the population means are equal. H₂: H₁ = H₂ = μ3 = μ4 142 136 At the a = 0.05 level of significance, test to see whether the mean drying time is the same for each type of robot. State the null and alternative…
PM Wed Nov 3 Stats Home Insert Draw View 8). Studies have shown that drivers who use cell phones while operating a motor passenger vehicle increase their risk of an accident. To quantify this risk, the New England Journal of Medicine (January 2, 2014) reported on the risk of a crash (or near crash) for both novice and expert drivers when using a cell phone. In a sample of 371 cases of novices using a cell phone while driving, 24 resulted in a crash (or near crash). In a sample of 1,467 cases of experts using a cell phone while driving. 67 resulted in a crash (or near crash). a). Find a 93% confidence interval for p, the true crash risk (probability) for novice drivers, also indicating the ME value. Answer: ME = b). Find a 93% confidence interval for p, the true crash risk (probability) for expert drivers, also indicating the ME value. Answer: гр, ME =
Determine your independent and dependent variables, which type of ANOVA would you choose, and how much replication would be needed. Farmer Joe has eight different plots of land. He applies two different nitrogen levels randomly to each of the 8 plots, low and high. In addition, four different strawberry varieties are randomized within the plots. He is measuring mass of fruit for his outcome. I would like to see if there is a difference in birth weight among cat breeds. I will measure 5 different cat breeds.
Prior to an intensive TV advertising campaign, the producers of Nike athletic shoes find that 29 of a random sample of 200 upper-income adults are aware of their new leisure shoe line. A second random sample of 300 such adults is taken after the campaign. Now 96 of the persons sampled can identify the new line. Is the increase in the proportion of upper income adults showing brand awareness significant? Test the claim using alpha = .05.
Fil 10. A small pilot study is conducted to investigate the effect of a nutritional supplement on total body weight. Six participants agree to take the nutritional supplement. To assess its effect on body weight, weights are measured before starting the supplementation and then after 6 weeks. The data are shown below. Is there a significant increase in body weight following supplementation? Run the test at a 5% level of significance. Demonstrate the five steps for hypothesis testing and explain your results. Subject İnitial Weight Weight after 6 Weeks 1 155 157 2 142 145 3 176 180 4 180 175 210 209 6. 125 126
700 doctors went through extra training compared to 1200 doctors who did not. Of the doctors who went through extra training, 125 of them majored in psychology. Of the 1200 doctors who did not do extra training, 174 of them majored in psychology. Perform a hypothesis test to see if there is a statistically significant evidence that the proportion of doctors who went through extra training is significantly greater than the proportion of doctors who did not. Perform the test at the alpha = .5 level. What is the p value and conclusion of this test?
When only two treatments are involved, ANOVA and the Student’s t-test (Chapter 11) result in the same conclusions. Also, for computed test statistics, t2 = F. To demonstrate this relationship, use the following example. Fourteen randomly selected students enrolled in a history course were divided into two groups, one consisting of six students who took the course in the normal lecture format. The other group of eight students took the course in a distance format. At the end of the course, each group was examined with a 50-item test. The following is a list of the number correct for each of the two groups. Traditional Lecture Distance 36 45 31 35 40 45 34 35 33 45 38 36 43 41 a-1. Complete the ANOVA table. (Round your SS, MS, and F values to 2 decimal places and p-value, F crit to 4 decimal places.) Source of Variation SS df MS F p-value F crit Treatment 96.01 1 96.01 5.67 0.0350 Error 203.21 12 16.93 Total 299.21 13…
For a randomized block ANOVA, suppose that the treatment Factor T has four levels and the blocking Factor B has eight levels. Given that SSTR = 900, SSBL = 700, and SSE = 210, construct the randomized block ANOVA table for the data.

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