A study was conducted to determine whether magnets were effective in treating pain. The values represent measurements of pain using the visual analog scale. Assume that bothsamples are independent simple random samples from populations having normal distributions. Use a 0.05 significance level to test the claim that those given a sham treatmenthave pain reductions that vary more than the pain reductions for those treated with magnets. What is the conclusion for this hypothesis test?ShamMagnetn2020X0.430.46S1.210.95O A. Reject HO. There is insufficient evidence to support the claim that those given a sham treatment have pain reductions that vary more than those treated with magnets.OB. Fail to reject HO. There is insufficient evidence to support the claim that those given a sham treatment have pain reductions that vary more than those treated with magnets.OC. Fail to reject HO. There is sufficient evidence to support the claim that those given a sham treatment have pain reductions that vary more than those treated with magnets.O D. Reject HO. There is sufficient evidence to support the claim that those given a sham treatment have pain reductions that vary more than those treated with magnets.

Answered: Image /qna-images/answer/75acdf36-a8ec-4d9f-b1e0-a5523f97bd30.jpg

Answered: A. Reject HO. There is insufficient…

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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2. Who supports gun control laws more: females or males? Data were collected from a sample of 980 people. We see that 379 of the 460 females in the sample support gun control laws, while 318 of the 520 males in the sample support gun control laws. We will investigate the difference in proportions of females and males who support gun control laws. (This dataset is preloaded in Statkey.) a) What parameter are we trying to estimate? Give correct notation and a brief written description. b) What is the best point estimate for the difference in the proportions of gun control law supporters? Use correct notation and include the value. c) Find a 99% bootstrap confidence interval using the Percentile Method Include a screen shot of your StatKey output. 99% CI: d) Find a 95% bootstrap confidence interval using the Standard Error Method (show calculations based on bootstrap estimate of standard error as shown in graph from previous step): 95% CI e) Interpret the 95% confidence interval. Be sure…
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1. In a certain type of metal test specimen, the normal stress on a specimen is known to be functionally related to the shear resistance. The following data is a set of coded experimental data on the two variables: Normal stress Shear stress 26.8 26.5 25.4 27.3 28.9 24.2 23.6 27.1 27.7 23.6 23.9 25.9 24.7 26.3 2 26.9 21.7 27.4 21.4 22.6 25.8 25.6 24.9 a. Validate the claim that the shear stress is influenced by the normal stress by testing the linear correlation of the two variables. b. If there is a linear correlation, based on your computation in letter (a), construct a simple linear regression model. Otherwise, disregard this question and the next question. c. Estimate the shear resistance when the normal stress is 25.0
Student 1 2 AWNIO COLS SAWN 3 7 8 9 10 11 12 13 14 15 Ans: b.) r = -0.045 IQ Score Statistics Grade 65 50 55 65 70 65 70 55 70 50 55 75 80 65 70 85 74 75 90 85 87 45 0 11574 80 70 76 94 85 90 81 91 76 c.) Pearson r critical value = ± 0.514
1. Identify the parameter and set up null and alternative hypotheses. A drug company says their brand of over the counter pain medicine contains on average 1.25 grams of acetaminophen in each tablet. A consumer wants to find evidence against the drug company's claim. 1. Identify the parameter: 2. Null hypothesis: 3. Alternative Hypothesis: а. b. Social scientists suspects the median age of women at the birth of the first child is more than 25 years. 1. Identify the parameter: 2. Null hypothesis 3. Alernative Hypothesis: c. A consumer advocacy group wants to prove there is no difference between regular unleaded and premium unleaded average gas mileage. 1. Identify the parameter: 2.Null hypothesis: 3.Alternative Hypothesis:
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1. The incidence of cancer among phosphate mine workers and their exposure to radiation was investigated. Cancer incidence was recorded among 60 phosphate mine workers who had 0-29 working level months (WLM) of exposure, 60 phosphate mine workers who had 30-89 WLM of exposure, and 60 phosphate mine workers who had 90-120 WLM of exposure. The number of cancer incidences for each group are presented in Table 1. Table 1: Two-way Table of Counts Cancer Incidence Exposure Level Yes No Total 0-29 WLM 20 40 60 30-89 WLM 33 27 60 90-120 WLM 43 17 60 Total 96 84 180 Perform a x? test, at the 5% level of significance, whether cancer incidence rates differ between the three levels of radiation among phosphate mine workers.
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8. For questions 8.1-8.4, a Test for Independence was conducted to assess the association between sex assigned at birth and HIV status. 8.1. Which is the alternative hypothesis? O Sex assigned at birth is independent from HIV status. Sex assigned at birth is associated with HIV status.
III. At the Olympic level of competition, even the smallest factors can make a difference between winning and losing. Previous research has found that Olympic marksmen shoot much better when they fire between heartbeats rather than during heartbeats (Pelton, 1983). The tiny vibration of a heartbeat appears to be enough to influence accuracy. A student at the University of Texas attempts to replicate the study with a group of collegiate marksmen. A group of collegiate marksmen (n = 6) fire a series of rounds while the student records heartbeats. For each shooter, a score is recorded for shots fired between and during heartbeats. Do the data support the earlier finding? Use alpha = .05. Shooter During Heartbeats Between Heartbeats A 93 98 В 90 94 C 95 96 92 91 E 95 97 F 91 97 State the hypotheses, critical values with df and alpha = .05, use SPSS and attach the SPSS output (which you've pasted into a word document to save the trees!) AND highlight the test-statistic and any other…
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A certain brand of jelly beans are made so that each package contains about the same number of beans. The filling procedure is not perfect, however. The packages are filled with an average of 375 Jelly beans, but the number going into each bag is normally distributed with a standard deviation of 8. Yesterday, Jane went to the store and purchased four of these packages in preparation for a Spring party. Jane was curious, and she counted the number of jelly beans in these packages - her four bags contained an average of 382 jelly beans.

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