an ANOVA provides the following data: Degrees of freedom between groups is 4; degrees of freedom within groups is 20; F- obt is 2.79 What is the correct statistical conclusion here? (hint: you'll need to find F-crit before you answer) We fail to reject the null hypothesis and conclude that there is no significant difference among the groups' means O We reject the null hypothesis and conclude that there is a significant difference among the groups' means O We reject the null hypothesis and conclude that there is no significant difference among the groups' means O We fail to reicct the null hypothesis and conclude that there is a significant difference among

an ANOVA provides the following data: Degrees of freedom between groups is 4; degrees of freedom within groups is 20; F- obt is 2.79 What is the correct statistical conclusion here? (hint: you'll need to find F-crit before you answer) We fail to reject the null hypothesis and conclude that there is no significant difference among the groups' means O We reject the null hypothesis and conclude that there is a significant difference among the groups' means O We reject the null hypothesis and conclude that there is no significant difference among the groups' means O We fail to reicct the null hypothesis and conclude that there is a significant difference among

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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Test the claim that the proportion of men who own cats is significantly different than 90% at the 0.02 significance level. The null and alternative hypothesis would be: Ho: 0.9 Ho:p = 0.9 Ho:μ = 0.9 Ho:p = 0.9 Ho:μ = 0.9 Ho:p = 0.9 H₁1:μ 0.9 H₁:p> 0.9 = The test is: two-tailed right-tailed left-tailed Based on a sample of 45 people, 99% owned cats The test statistic is: The positive critical value is: Based on this we: O Reject the null hypothesis O Fail to reject the null hypothesis (to 2 decimals) (to 2 decimals)
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A psychologist is interested in testing whether there is a difference in the distribution of personality types for business majors and social science majors. The results of the study are shown below. Personality Frequencies for Business and Social Science Majors Open Conscientious Extrovert Agreeable Neurotic Business 70 46 98 56 24 Social Science 92 67 70 87 32 What can be concluded at the αα = 0.10 significance level? What is the correct statistical test to use? Homogeneity Independence Goodness-of-Fit Paired t-test What are the null and alternative hypotheses?H0:H0: The distribution of personality types for business majors is not the same as it is for social science majors. Personality type and major are independent. The distribution of personality types for business majors is the same as it is for social science majors. Personality type and major are dependent. H1:H1: The distribution of personality types for business majors is the same as it is for…
Data cells should be frequencier. 4) A random sample of M&M's was taken from several large jars. The following table gives the counts of the various colors. Is this evidence that the colors are not evenly distributed? Observed Expected X² 75% 1=yes Red 126 What are the hypotheses? Hoi Hai Can we use a chi-squared test? Why or why not? What is the value of X²? Orange 123 What is the degrees of freedom? Yellow 106 Which colors contribute most to the X² score? Green 115 Blue 133 Brown 117 Total 720
The Humane Society of California reported in one of its most recent magazines that 11.6% of American Adults have both a cat and a dog in their household. Suppose that this data is based on a 1,000 randomly selected independent American adults. Which conditions did this study meet? The data is a (choose one: random or non random) sample We know that there are at least (provide a number here) successes and at least (provide a number here) failures
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Twenty-four mice are inoculated with three strains of typhoid. The number of days until death for each mouse is recorded. Do these data suggest any significant differences in the survival time for the three strains? Test at an a = 0.10 significance level. The null hypothesis is Select an answer The alternative hypothesis is Select an answer With a p-value of 0.017, we Select an answer the Select an answer There is Select an answer evidence to conclude that there are significant differences in the survival time for the three strains.
Passive and Active Smoke Data Set 12 “Passive and Active Smoke” in Appendix B lists measured cotinine levels from a sample of subjects who smoke, another sample of subjects who do not smoke but are exposed to environmental tobacco smoke, and a third sample of subjects who do not smoke and are not exposed to environmental tobacco smoke. Cotinine is produced when the body absorbs nicotine. Use a 0.01 significance level to test the claim that the three samples are from populations with the same median. What do the results suggest about a smoker who argues that he absorbs as much nicotine as people who don’t smoke?
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A grocery store says their mangoes are fresher than most. A typical grocery store has roughly 10% go bad before they sell. A random sample of 135 mangoes from the store showed that 13 of the mangoes were rotten. Assume we have a significance level of 0.05. 1. null hypothesis____________ the alternative hypothesis is__________ 2. Our z-test statistic is 3. Our p-value is 4. evidence supporting the alternative?
Test the claim that the proportion of men who own cats is significantly different than the proportion of women who own cats at the 0.2 significance level. The null and alternative hypothesis would be: Ho: M = μF Ho: PM = PF H₁:µm > µF H₁:PM > pF Ho: PM = PF H₁:PM