R can be used to find the critical value for an F distribution for a given significance level. For example, tofind the critical value (the value above which you would reject the null hypothesis) for a = = 0.05 withdfbetween = 6 and dfwithin = 56, then F1-0.05 is found with:qf (1-0.05, df1=6, df2=56)Enter this code into RStudio to confirm you obtain the value 2.266.You conduct a one-way ANOVA with 4 groups and 8 subjects in each group (a balanced design). Use RStudioto find the critical values for a = 0.10 and a = 0.01 (report accurate to 3 decimal places).F1-0.10 = 2.157XF1-0.014.074 x

Answered: R can be used to find the critical…

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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At Community Hospital, the burn center is experimenting with a new plasma compress treatment. A random sample of n1 = 304 patients with minor burns received the plasma compress treatment. Of these patients, it was found that 254 had no visible scars after treatment. Another random sample of n2 = 414 patients with minor burns received no plasma compress treatment. For this group, it was found that 93 had no visible scars after treatment. Let p1 be the population proportion of all patients with minor burns receiving the plasma compress treatment who have no visible scars. Let P2 be the population proportion of all patients with minor burns not receiving the plasma compress treatment who have no visible scars. (a) Find a 90% confidence interval for Pi – P2. (Round your answers to three decimal places.) lower limit upper limit (b) Explain the meaning of the confidence interval found in part (a) in the context of the problem. Does the interval contain numbers that are all positive? all…
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R can be used to find the critical value for an F distribution for a given significance level. For example, to find the critical value (the value above which you would reject the null hypothesis) for a = 0.05 with dfbetween = 6 and dfwithin = 56, then F1-0.05 is found with: qf (1-0.05, df1=6, df2=56) Enter this code into RStudio to confirm you obtain the value 2.266. You conduct a one-way ANOVA with 4 groups and 8 subjects in each group (a balanced design). Use RStudio to find the critical values for a = 0.10 and a = 0.01 (report accurate to 3 decimal places). F1-0.10 = 4.191 X F1-0.01 = 96.694 X
A consultant for a large university studied the number of hours per week freshmen watch TV versus the number of hours seniors do. The results of this study follow. Is there enough evidence to show the mean number of hours per week freshmen watch TV is different from the mean number of hours seniors do at α=0.1? Freshmen Seniors n 9 5 xbar 19.0 11.7 s 7.8740 3.9749 For the hypothesis statement above (in terms of Seniors - Freshmen), what is the decision?
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