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A study was conducted to determine the growth performance of swine among varying levels of protein supplements (20% and 40%) and percent of cassava root (20%, 30%, 40%) as additive in rice bran. All the levels of factors were purposively selected. The treatment combinations were randomly assigned to swine of the same initial weight. Percent gain in weight were obtained after 2 months. Suppose all the assumptions for the parametric test were satisfied. The following results were obtained using R commander: Anova Table (Type II tests) Response: weight_gain Pr (>F) 2 14.9692 0.0005488 Sum Sq Df F value cassava_root protein cassava_root:protein Residuals 14.0211 0.0556 0.1186 0.7364924 0.2411 2096ררר.0.25740 5.6200 12 1. Which of the following is(are) TRUE regarding the test for the main effect of the percent of protein supplements at a = 5%? We reject the null hypothesis. We have insufficient evidence to say that the average growth rate of swine differs for at least one level of percent protein supplements. I. II. A. I only C. Both I and |I B. II only D. Neither I nor II 2. Which of the following is(are) TRUE regarding the test for the main effect of percent of cassava roots at a = 5%? We reject the null hypothesis II. There is no difference in the effect of different levels of percent of cassava roots on the growth rate of swine. I. A. I only C. Both I and II B. Il only D. Neither I nor II 3. Suppose that there is no interaction between the factor levels and one of the main effects have at least one level that has a different effect on the growth rate of swine. Which of the following is(are) the appropriate post-hoc analysis to be performed in the analysis? * Perform pairwise mean comparison among the levels of the main factor with significant result to determine which pair of treatment levels have a different effect. II. Perform pairwise mean comparison among the different levels of the treatment combination to determine which pair of treatment combination have a different effect. I. A. I only C. Both I and II B. Il only D. Neither I nor|l

A study was conducted to determine the growth performance of swine among varying levels of protein supplements (20% and 40%) and percent of cassava root (20%, 30%, 40%) as additive in rice bran. All the levels of factors were purposively selected. The treatment combinations were randomly assigned to swine of the same initial weight. Percent gain in weight were obtained after 2 months. Suppose all the assumptions for the parametric test were satisfied. The following results were obtained using R commander: Anova Table (Type II tests) Response: weight_gain Pr (>F) 2 14.9692 0.0005488 Sum Sq Df F value cassava_root protein cassava_root:protein Residuals 14.0211 0.0556 0.1186 0.7364924 0.2411 2096ררר.0.25740 5.6200 12 1. Which of the following is(are) TRUE regarding the test for the main effect of the percent of protein supplements at a = 5%? We reject the null hypothesis. We have insufficient evidence to say that the average growth rate of swine differs for at least one level of percent protein supplements. I. II. A. I only C. Both I and |I B. II only D. Neither I nor II 2. Which of the following is(are) TRUE regarding the test for the main effect of percent of cassava roots at a = 5%? We reject the null hypothesis II. There is no difference in the effect of different levels of percent of cassava roots on the growth rate of swine. I. A. I only C. Both I and II B. Il only D. Neither I nor II 3. Suppose that there is no interaction between the factor levels and one of the main effects have at least one level that has a different effect on the growth rate of swine. Which of the following is(are) the appropriate post-hoc analysis to be performed in the analysis? * Perform pairwise mean comparison among the levels of the main factor with significant result to determine which pair of treatment levels have a different effect. II. Perform pairwise mean comparison among the different levels of the treatment combination to determine which pair of treatment combination have a different effect. I. A. I only C. Both I and II B. Il only D. Neither I nor|l

MATLAB: An Introduction with Applications
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 study was conducted to determine the growth performance of swine among varying levels of protein supplements (20% and 40%) and percent of cassava root (20%, 30%, 40%) as additive in rice bran. All the levels of factors were purposively selected. The treatment combinations were randomly assigned to swine of the same initial weight. Percent gain in weight were obtained after 2 months. Suppose all the assumptions for the parametric test were satisfied. The following results were obtained using R commander: Anova Table (Type II tests) Response: weight_gain Sum Sq Df F value Pr (>F) cassava_root protein 14.0211 2 14.9692 0.0005488 0.0556 1 0.1186 0.7364924 cassava_root:protein Residuals 0.2411 0.2574 0.7772096 5.6200 12 1. Which of the following is(are) TRUE regarding the test for the main effect of the percent of protein supplements at a = 5%? I. We reject the null hypothesis. II. We have insufficient evidence to say that the average growth rate of swine differs for at least one level of percent protein supplements. A. I only C. Both I and |I B. Il only D. Neither I nor II 2. Which of the following is(are) TRUE regarding the test for the main effect of percent of cassava roots at a = 5%? I. We reject the null hypothesis II. There is no difference in the effect of different levels of percent of cassava roots on the growth rate of swine. A. I only C. Both I and || B. Il only D. Neither I nor II 3. Suppose that there is no interaction between the factor levels and one of the main effects have at least one level that has a different effect on the growth rate of swine. Which of the following is(are) the appropriate post-hoc analysis to be performed in the analysis? * factor with significant Perform pairwise mean comparison among the levels result to determine which pair of treatment levels have a different effect. II. Perform pairwise mean comparison among the different levels of the treatment combination to determine which pair of treatment combination have a different effect. the A. I only C. Both I and II B. Il only D. Neither I nor II
Transcribed Image Text:A study was conducted to determine the growth performance of swine among varying levels of protein supplements (20% and 40%) and percent of cassava root (20%, 30%, 40%) as additive in rice bran. All the levels of factors were purposively selected. The treatment combinations were randomly assigned to swine of the same initial weight. Percent gain in weight were obtained after 2 months. Suppose all the assumptions for the parametric test were satisfied. The following results were obtained using R commander: Anova Table (Type II tests) Response: weight_gain Sum Sq Df F value Pr (>F) cassava_root protein 14.0211 2 14.9692 0.0005488 0.0556 1 0.1186 0.7364924 cassava_root:protein Residuals 0.2411 0.2574 0.7772096 5.6200 12 1. Which of the following is(are) TRUE regarding the test for the main effect of the percent of protein supplements at a = 5%? I. We reject the null hypothesis. II. We have insufficient evidence to say that the average growth rate of swine differs for at least one level of percent protein supplements. A. I only C. Both I and |I B. Il only D. Neither I nor II 2. Which of the following is(are) TRUE regarding the test for the main effect of percent of cassava roots at a = 5%? I. We reject the null hypothesis II. There is no difference in the effect of different levels of percent of cassava roots on the growth rate of swine. A. I only C. Both I and || B. Il only D. Neither I nor II 3. Suppose that there is no interaction between the factor levels and one of the main effects have at least one level that has a different effect on the growth rate of swine. Which of the following is(are) the appropriate post-hoc analysis to be performed in the analysis? * factor with significant Perform pairwise mean comparison among the levels result to determine which pair of treatment levels have a different effect. II. Perform pairwise mean comparison among the different levels of the treatment combination to determine which pair of treatment combination have a different effect. the A. I only C. Both I and II B. Il only D. Neither I nor II
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