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.1. 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 = pork38. 320032043-- ---11-1-11norm quantilesnorm quantilesnorm quantilestriglyceride10 20 30 40 50triglyceride10 20 30 40 50triglyceride10 2040 50 R COMMANDER OUTPUTR COMMANDER OUTPUTmeat = chicken32 o38 oShapiro-Wilk normality testdata:triglycerideW = 0.90761, p-value = 0.1245meat = fishShapiro-Wilk normality testdata:triglycerideW = 0.87041, p-value = 0.0342110meat =porkShapiro-Wilk normality testdata:triglyceridefishchickenporkW = 0.93761, p-value = 0.3533meatR COMMANDER OUTPUTLevene's Test for Homogeneity of Variance (center = "mean")Df F value Pr(>F)2 0.7724 0.4683group42a. Discuss and interpret the results obtained in testing the assumptions of the F-test.b. Which between a parametric test or a non-parametric test would you recommend?triglycerideOS

Shapiro will test used for examining the normality of data hypothesis for shapiro wilk test H0: the…

Answered: R COMMANDER OUTPUT R COMMANDER OUTPUT…

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 student is interested in knowing if there is a relationship between the age of a child and the amount of time spent on homework. He asks 7 people their ages and the number of hours they spend on homework. Is there a relationship between age and the amount of time spent doing homework? Test at α = .05 level of significance. Age of Child (yrs) Time doing HW (hrs) 11 5 15 7 4 0 7 1 9 2 5 0 13 3
7.1-8
Assume measurements for Ph levels in soil follow exactly a normal relative frequency distribution with population mean u = 5 and population standard deviation o = 1.4. Use Empirical rule to determine percentage of Ph levels in interval 3.6 to 7.8. Answer is Blank 1 PERCENT Blank 1 Add your answer
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I. Solve for Z and find its area 1. Mean = 81, score: x = 71.5, standard deviation: o = 9. 2. Mean = 47, score: x = 55.6, standard deviation: o = 4. 3. Mean = 68, score: x = 78.8, standard deviation: o = 6. 4. Mean = 51, score: x = 69, standard deviation: o =7. 5. Mean = 85, score: x = 93, standard deviation: o =5. 6. The mean expenses of Dela Cruz Family is PhP12,600 every 15 days and the standard deviation is PhP 1, 570., If the expenses are normally distributed, what is the probability of consuming less than PhP 11,000 in 15 days? 7. The mean production of factory workers is 10 finished products per hour, with a standard deviation of 1.5 products/hour. What is the probability of finishing: a. less than 12.8 products/hour? b. more than 12 products/hour? 8. The mean weight of insects for laboratory experiments is 13.2 g, with the standard deviation of 0.8 g. What is the probability of randomly selecting insects with weight of: a. 14 g? b. 13.1 to 13.6 g? 9. The lifetime of CP…
Good Morning, I am needing assistance making the changes the instructor requested be changed on this question. Thank you. Scenario:Is there a relationship between one’s gender and whether one owns a dog, cat, or reptile? Use the data provided in the table below to answer the following questions. Question: Using the degrees of freedom provided by your SPSS output and an alpha value of .05, find the critical value in the appropriate table in the Appendix of your Jackson e-book. Do not round – present all three decimal places. Clearly identify the critical value from your e-book and the obtained value from your SPSS output. Based on this information, would you reject or fail to reject the null hypothesis? Does this mean there is a significant difference or no significant difference? My Answer: The chi-square test of significance between the gender and pets owned is shown. The findings indicate that, with a p-value of 0.177, which is higher than the alpha value, there was no…
Suppose the lengths of human pregnancies are normally distributed with µ = 266 days and o = 16 days. Complete parts (a) and (b) below. ..... (a) The figure to the right represents the normal curve with u = 266 days and o = 16 days. The area to the right of X= 300 is 0.0168. Provide two interpretations of this area. %3D Provide one interpretation of the area using the given values. Select the correct choice below and fill in the answer boxes to complete your choice. (Type integers or decimals.) A. The proportion of human pregnancies that last less than days is O B. The proportion of human pregnancies that last more than days is 266 300 Provide a second interpretation of the area using the given values. Select the correct choice below and fill in the answer boxes to complete your choice. (Type integers or decimals.) O A. The probability that a randomly selected human pregnancy lasts more than days is B. The probability that a randomly selected human pregnancy lasts less than days is (b)…
1. Model 1: OLS, using observations 1-706 Dependent variable: RST Coefficient Std. Error t-ratio p-value const 3586.38 38.9124 92.17 <0.0001 *** TOTWRK −0.150746 0.0167403 −9.005 <0.0001 *** Mean dependent var 3266.356 S.D. dependent var 444.4134 Sum squared resid 1.25e+08 S.E. of regression 421.1357 R-squared 0.103287 Adjusted R-squared 0.102014 F(1, 704) 81.08987 P-value(F) 1.99e-1810538.19 Log-likelihood −5267.096 Akaike criterion 10538.19 Schwarz criterion 10547.31 Hannan-Quinn 10541.71 RSTi =3586.38−0.150746 x TOTWRKi , R2=0.103287,SER=421.1357 (38.9124) (0.0167403) Question? could you please help with this question below. 3) By observing the GRETL output in Part (1) above, provide a detailed explanation of the coefficient of determination. Based on your analysis, is this a good model? Why or why not?
The price X (dollars per pound) and consumption y (in pounds per capita) of beef were samples for 10 randomly selected years. The following data should be used to answer the question that follows. n = 10 Ex = 36.19 Ix² = 134.17 2.9 < x s 6.2 Ey = 774.7 Iy² = 60739.23 Exy = 2832.21 Using this data, a student calculated SSy = 28.43 SSx = 3.2 SSy= 717. Calculate the %3D %3D value of the standard error or regression, Se , and enter you answer accurate to the nearest hundredth (2 decimal places).
need with bell shape curve please
Match the definition in column X with the correct term in column Y.

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