Researchers collected data on the numbers of hospital admissions resulting from motor vehicle crashes, and results are given for Friday the 6th andFriday the 13th in the same month. Use the Wilcoxon signed-ranks test to test the claim that the matched pairs have differences that come from apopulation with median equal to zero at a significance level of alpha=0.10. What is the conclusion for this hypothesis test?Fri. 6thFri. 13th15WilcoxonCritT.pdf8711 1010119710 121214ⒸA. Fail to reject HO. There is insufficient evidence to warrant rejection of the claim of no difference.OB. Reject H0. There is insufficient evidence to warrant rejection of the claim of no difference.O C. Fail to reject HO. There is sufficient evidence to warrant rejection of the claim of no difference.O D. Reject H0. There is sufficient evidence to warrant rejection of the claim of no difference.S

Given Fri. 6th 7 8 10 9 7 12 Fri. 13th 11 10 11 10 12 14 α=0.05

Answered: Researchers collected data on the…

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 collected data on the numbers of hospital admissions resulting from motor vehicle crashes, and results are given below for Fridays on the 6th of a month and Fridays on the following 13th of the same month. Friday the 6th. Friday the 13th. 10 14 7 13 11 14 11 10 3 6 14 Construct a 95% confidence interval estimate of the mean of the population of differences between hospital admissions on days that are Friday the 6th of a month and days that are Fridays the 13th of a month. Use the confidence interval to test the claim that when the 13th day of a month falls on a Friday, the numbers of hospital admissions from motor vehicle crashes are not affected.
The owners of the Armadillo Lumber Company wanted to find out whether pay raises are correlated with employees absences. For each of 10 randomly selected employees, they recorded the amount of the pay raise during the past year (in dollars per hour) and the number of absences during the six months following the raise. Calculate the correlation and test its significance using the 7 hypothesis testing steps you have been taught. Раy Absences raise 8. 4 8. 17 3 4 1 1 3
4. Answer the following. Feel free to use the Excel Demo from the course website called "alpha and beta". a. What happens to the probability of type IlI error as the difference between mu_0 and the actual mean increases? b. What happens to the probability of type II error as the sample size increases? C. How does changing the significance level effect the type Il error probability? -Accessibility: Good to go O Focus a AP hp
A research poll was conducted to investigate opinions about global warming. The respondent who answered yes when asked if there is solid evidence that the earth is getting warmer were then asked to select a cause of global warming. The results for two age brackets are given in the table below. Human Activity Natural Patterns Don't know Under 30 108 41 7 65 and over 121 71 43 a. At the 1% significance level, test the claim that age bracket is independent of the choice for global warming. State the null and alternate hypothesis, find the test statistic and p-value, and state the decision. b. Do respondents from both age brackets appearto agree, or is there a substantial difference? What distribution is used to do the hypothesis testing? What is different about this C. distribution?
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To determine if there is an association between gender and reading habits, 270 adults are randomly sampled from across the United States and asked the following question: “How often do you read a book outside of work or school: regularly, sometimes, or never?” The results are summarized in the following table: OBSERVED READING HABITS Regularly Sometimes Never Total Male 42 72 10 124 Female 72 74 7 146 Total 107 146 17 270 a)What are the appropriate hypotheses for this chi-square test? b)What are the appropriate degrees of freedom for this test?
use ms excel, thank you!
random sample of 25 business students required an average of 50.7 minutes to complete a statistics exam. Assume that the population standard deviation to complete the exam was 10.4 minutes. The 99% confidence interval around this sample mean is
A study of seat belt users and nonusers yielded the randomly selected sample data summarized in the accompanying table. Use a 0.05 significance level to test the claim that the amount of smoking is independent of seat belt use. A plausible theory is that people who smoke are less concerned about their health and safety and are therefore less inclined to wear seat belts, Is this theory supported by the sample data? BB Click the icon to view the data table. Determine the null and alternative hypotheses. O A. Ho: The amount of smoking is dependent upon seat belt use. H₁: The amount of smoking is not dependent upon seat belt use. O B. Ho: Heavy smokers are not less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are less likely than non-smokers to wear a seat belt. OC, Ho: Heavy smokers are less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are not less likely than non-smokers to wear a seat belt. O D. Ho: The amount of smoking is independent of seat belt…
Q.No.5. a) why confounding is used in experiment b) Construct factorial design with BCD confounded in first replicate, ABD confounded in second replicate and AD confounded in third. Outline the analysis of variance.
Report an appropriate hypothesis test and use a 5% significance level. The alternative hypothesis for the One-way Anova F-test would be Group of answer choices Ha: Density affects firing temperature. Ha: Firing temperature affects density. Ha: Firing temperature does not affect density. Ha: Density does not affect firing temperature.
A researcher wanted to determine whether the stock market moves up and down randomly. He recorded the movement of the Dow Jones Industrial Average for 44 consecutive business days. The observed data showed that the market moved up 20 times, moved down 24 times, and had 16 runs during these 44 days. You are to perform a test for randomness using a significance level of 9%. What is the decision if the variance of the Runs is 10.5631. Non random pattern Random pattern Cannot make a decision

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