Think about doing an Independent-Measures ANOVA with α=.01. If the ANOVA Source Table is as follows, what is the correct F-critical? SOURCE SS df MS Fobt Between 70.22 2 35.11 4.79 Within 44.00 6 7.33 Total 114.22 8 Group of answer choices F-critical = 10.92 F-critical = 5.95 F-critical = 13.74 F-critical = 9.78

Think about doing an Independent-Measures ANOVA with α=.01. If the ANOVA Source Table is as follows, what is the correct F-critical? SOURCE SS df MS Fobt Between 70.22 2 35.11 4.79 Within 44.00 6 7.33 Total 114.22 8 Group of answer choices F-critical = 10.92 F-critical = 5.95 F-critical = 13.74 F-critical = 9.78

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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Please answer all sub-parts Clinical trials involved treating patients with Tamiflu, which is a medicine intended to attack the influenza virus and stop it from causing flu symptoms. Among 724 patients treated with Tamiflu, 72 experienced nausea as an adverse reaction. Use a significance level of 0.05 to test the claim that the rate of nausea experienced by patients who were given Tamiflu is higher than the 6% rate experienced by flu patients who were given a placebo.
The height of women ages 20-29 is normally distributed, with a mean of 63.6 inches. Assume o = 2.5 inches. Are you more lrely to randomly select 1 woman with a height less than 64.1 inches or are you more likely to select a sample of 20 women with a mean height less than 64.1 inches? Explain. E Click the icon to view page 1 of the standard normal table. E Click the icon to view page 2 of the standard normal table. What is the probability of randomly selecting 1 woman with a height less than 64.1 inches? (Round to four decimal places as needed.) Enter your answer in the answer box and then click Check Answer. Check Answer Clear All parts 2 Femaining
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What key fact permits you to determine percentages for a normally distributed variable by first converting to z-scores and then determining the corresponding area under the standard normal curve?
Think about doing an Independent-Measures ANOVA, Step 3. If the ANOVA Source table looks as follows, what are the MS-between, MS-within, and F-obtained? SOURCE SS df MS Fobt Between 20.22 2 ??? ??? Within 51.33 6 ??? -- Total 71.56 8 -- --
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What is a practical example that would use ANOVA?
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What is the formula for the F-statistic in a one-way ANOVA?