Lastly, the nutritionist wants to determine if the satisfaction levels (measured from 1-10, 10 being the highest) of the clients on the high-protein diet are the same among the three types of meat. Which between a parametric test or a non-parametric test will you suggest to analyze the given data? The nutritionist also wants to determine if there is a difference in the average weight loss between maleand female clients. Men tend to lose weight faster due to their higher percentage of lean muscle tissueand higher metabolic rate. To answer this, you recommended to use a parametric test t-test whichrequires the data of each group be normally distributed. Using R Commander, the following results for thetest of the assumptions were generated.R COMMANDER OUTPUTsex = femaleShapiro-Wilk normality testweightlossdata:W = 0.94514, p-value = 0.2748----sex - maleShapiro-Wilk normality testdata: weightlossW - 0.97646, p-value- 0.8227R COMMANDER OUTPUTsex = femalesex = male2.9.101130354045505560weightlussweightlossLastly, the nutritionist wants to determine if the satisfaction levels (measured from 1-10, 10 being thehighest) of the clients on the high-protein diet are the same among the three types of meat. Whichbetween a parametric test or a non-parametric test will you suggest to analyze the given data?kouenbe Pork is the most preferred meat by a lot of meat consumers. Studies have shown that dietshigh in pork protein have favorable effects on a person's body composition. However, it isunclear whether these effects are specific to pork or whether consumption of other high proteinmeat diets have the same benefit.To investigate this, the nutritionist of a private diet center chose a random sample ofoverweight clients to participate in a 3-month program where each person is required to followa restricted high-protein diet program with only one type of meat (chicken, fish, or pork). Beforeand after the program, the triglyceride level and weight of each client were recorded. Supposethe nutritionist asks your statistical advice for this study.The nutritionist wants to study whether the mean change in triglyceride level of the clients differs amongthe three meat diets. She then asked your statistical advice considering that you have enough knowledgethat using a parametric test specifically the F-test in Analysis of Variance (ANOVA) can answer herobjective. Using R Commander, the following results for the test of the assumptions were generated.R COMMANDER OUTPUTmeat = chickenmeat = fishmeat = pork320380043014-1-1-11norm quantilesnorm quantilesnorm quantilesR COMMANDER OUTPUTR COMMANDER OUTPUTmeat = chicken32 o38 oShapiro-Wilk normality testdata:triglyceride40W = 0.90761, p-value= 0.1245meat = fishShapiro-Wilk normality testtriglycerideW = 0.87041, p-valuedata:= 0.03421meat =porkShapiro-Wilk normality testdata: triglyceridew = 0.93761, p-valuechickenfishpork= 0.3533meatR COMMANDER OUTPUTLevene's Test for Homogeneity of Variance (center = "mean")Df F value Pr(>F)group 2 0.7724 0.468342triglyceride20 30 40 50triglyceride10 20 30 40 50tiglycendeOLOStriglyceride10 20 30 40 50

One of the assumptions of parametric test is normality condition. Let us check the normality for…

Lastly, the nutritionist wants to determine if the satisfaction levels (measured from 1-10, 10 being the highest) of the clients on the high-protein diet are the same among the three types of meat. Which between a parametric test or a non-parametric test will y

Lastly, the nutritionist wants to determine if the satisfaction levels (measured from 1-10, 10 being the highest) of the clients on the high-protein diet are the same among the three types of meat. Which between a parametric test or a non-parametric test will y

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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A recent study on driving behavior examined whether the combination of high driving skills and low safety skills is dangerous. Participants were classified as high or low in driving skill based on responses to a driver-skill inventory, then classified as high or low in safety skill based on responses to a driver-aggression scale. An overall measure of driving risk was obtained by combining several variables such as number of accidents, tickets, tendency to speed, etc. The following data were obtained. Use a 2 x 2 ANOVA with the .05 significance level to evaluate the results. Which of the following is one of the research hypotheses? Driving Skill Low High Safety Skill Low M1=5 M2=4.5 S1=2.7 S2=3.8 N1=6 N2=6 HIgh M3=3 M4=3.5 S3=2.9 S4=2.5 N3=6 N4=6 Group of answer choices The difference in driving risk between drivers with high and low driving safety does not depend on driving skill level On average, drivers classified as high and low in safety skill do not…