A researcher is interested in assessing the effects of a newly developed "smart" pill on patients'perceived mathematical abilities at three different time points. Patients are asked to rate their ownlevels of math skill from 1 - 8 before taking the pill, after 3 months of pill taking, and after 6 monthsof pill-taking. She collects the following data:PatientABCDETreatment totalsSSSourceBetweentreatmentsWithin treatmentsBetween SubjectsErrorTotalBeforeSS65.57.06.87.833.13.213 months6.76.8df7.9Conduct an ANOVA for these data. You may use the summary table example below to help organizeyour data.7.17.53616 months5.4MS5.06.96.06.329.62.23F Fill in the table (on your own, you will not submit all values for credit, please read the questioncarefully). Analyze the results and answer the following questions:A.What is the value for the SSbetweentreatments? [Select]B. What is the value for the SSerror? [Select]C. What is the value for the df error? [Select]D. What is the F ratio for these data? F = [Select]<<E. Based on the F table and your determination of the critical value for alpha of 0.05, you would[Select]the null hypothesis.F. Is there at least one difference between the treatment groups? [Select]

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Answered: A researcher is interested in assessing…

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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Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as an operator (in years) important? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed: x1 = Length of time an employee was in the industry x2 = Mechanical aptitude test score x3 = Prior on-the-job rating x4 = Age Performance on the new machine is designated y. Thirty employees were selected at random. Data were collected for each, and their performances on the new machines were recorded. A few results are: Performance on New Machine, Length of Time in Industry, Mechanical Aptitude Score, Prior On-the-Job Performance, Age, Name y x1 x2 x3 x4 Mike Miraglia 118 11 343 122 50 Sue Trythall 116 8 307 128 21 The equation is: yˆy⁢^⁢ = 10.2 +…
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