You want to determine if diet impacts body weight. You recruit 60subjects, assigning 20 each to either one of two dietary interventions orto maintain their normal diet. You measure body weight before and afterthe intervention and calculate the change in body weight (post minus preweights). Shapiro-Wilk tests show the following: Diet 1 p=0.032, Diet 2p=0.001, Normal Diet p=0.025. To determine the diet effect on thecalculated change in body weight, you would use a.Assumeall other assumptions are met for a parametric test.Friedman's testOne-way repeated measures ANOVAKruskal-Wallis ANOVAOne-way ANOVA

The objective is to find out which test is to be used to determine the diet effect on the calculated…

Answered: You want to determine if diet impacts…

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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C6. The GSS 2014 asked respondents to identify what was important for "truly bemg American." When asked "How important to have American ancestry?" answers were measured on a 4-point scale: 1 = very important, 2 = fairly important, 3 = 1ot important, and 4 = not important at all. We selected a sample of 20 GSS respondents and present their individual responses. Complete the five-step model for these data, using alpha = .01 to assess the significance of the model. not very %3D %3D %3D White Black Other 1 4 2 2 3. 1 4. 4. 2. 2. 1, 2. 3.
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You are interested in investigating the efficacy of a new pain medication and design an experiment measuring pain levels before and after the administration of a new medication. You recruit 9 people to participate in your study and bring the same 9 participants in for two separate sessions. Here is the raw data: Pair Number Placebo Pain Score Pain Medication Pain Score 1 2 4 5 6 7 8 9 5 7 10 5 8 7 8 6 8 QUESTION 20 5 5 8 4 4 3 5 3 2 Use the t-test handout printout provided to calculate the t- statistic. What is the t-test statistic value? Round to the nearest tenth. What conclusion would you make on the above data, based on the t-value you calculated and the critical value of t? O You accept the null hypothesis because the t-value you calculated is inside the bounds of the critical t-value O You reject the null hypothesis because the t-value you calculated is inside the bounds of the critical t-value O You reject the null hypothesis because the t-value you calculated is outside the…
A psychologist would like to examine the effects of a new drug on the activity level of animals. Three samples of rats are selected with n=5 in each sample. One group gets no drug, one group gets s small dose, and the third group gets a large dose. The psychologist records the activity level for each animal. The data from this experiment are presented below. No drug Small dose Large dose 5, 3 , 1 , 1 , 5 5, 5, 9, 6, 5 10, 12, 9, 6, 8 =3, SS=16 =6, SS=12 =9, SS=20 Do these data indicate any significant differences among the three groups? Test with α=0.05. Compute the effect size and interpret the result.
Johnson and Leone describe an experiment to investigate the warping of copper plates. The two factors studied were temperature and the copper content of the plates. The response variable was a measure of the amount of warping. The data are as follows: Temperature (°C) 50 75 100 Copper Content (%) 40 60 80 100 17 20 12 9 16 12 21 17 21 16 24 21 18 13 18 21 ZZFEHERRE 23 22 27 17 27 31 30 23 29 31 12 25 23 23 28 22 125 Source: Applied Statistics and Probability for Engineers, 6th Edition, Douglas, C. Montgomery & George, C. Runger. 1. Draw and interpret the interaction plot. ii. Is there any significant interaction between the factors? Use a = 0.05. ii. Can your interpretation in (i) be validated in (ii)? Twelve plants are randomly
Suppose we conducted an experiment to examining differences in watermelon weight (kg) between two types of watermelon plant (hybrid and non-hybrid) exposed to two different sunlight exposure (30%, 50%). Table below shows the recorded data. 30% 50% Hybrid Non-hybrid 1.6, 1.8, 1.5 2.9, 3.1, 2.8 1.4, 1.7, 1.2 2.2, 2.4, 2.2 1. What is the number of replications? 2. What is the experimental unit? 3. What is the response variable?
Below you will find a research scenarios. Your task is to identify the proposed analysis and why you chose that analysis for each of these scenarios. State the research question that aligns with the scenario and the analysis. Next run the appropriate analyses and report your findings in APA Research scenario 2: Historians are interested in the accuracy of eyewitness accounts of traumatic events. One study examined survivors' recall of the sinking of the ship Titanic (Riniolo, Koledin, Drakulic, & Payne, 2003). The researchers reviewed the transcripts of survivors' testimony at governmental hearings (www.titanicinquiry.org) to see whether they testified that the ship was intact or breaking apart during the ship's final plunge (it was in fact breaking apart). To test for eyewitness accuracy, testimony of 20 survivors was examined to see if there was an equal likelihood of survivors saying the ship was intact or breaking apart. Datafile: titanic.xlsx Your response should contain…
why the correct answer is letter E?
Four types of Soda were tested to determine their effect on weight gain. The data is shown below. Which statement is true? Choose all that apply Weight gain in Kg/year A 5.2 4.5 6.0 6.1 6.7 5.8 B 6.5 8.0 6.1 7.5 5.9 5.6 C 5.8 4.7 6.4 4.9 6.0 5.2 D 8.3 6.1 7.8 7.0 7.8 7.0 5.5 7.2 a. All the soda types do not differ with respect to true average weight gain at a =0.01 b. At least two of the soda types differ with respect to true average weight gain at a =0.01 c. At least two of the soda types differ with respect to true average weight gain at a =0.05 d. All the soda types do not differ with respect to true average weight gain at a =0.05
Jane measures the age of death of 4 strains of mice using 40 male mice per strain, with 20 mice from each strain on a high protein diet and the other 20 mice on a high fat diet. What is the N (the number of independent observations) in this experiment? Draw the experimental design table.
A child psychologist believe that controlled physical outbursts of anger (like punching a pillow) may improve the mood of young boys with emotional impairment. He believes that the proportion of boys who benefit from the treatment is greater than the proportion of girls. A random sample from each population receives counseling in the treatment and is asked about their mood after an episode (x is the number of test subjects that reported an improvement in mood). The results of the study are summarized in the table below. Boys n1 = 200 Girls n2 = 210 %3D %3D X1 = 35 X2 = 28 Blank #1: Find the two sample proportions, reporting each as a decimal, rounded to two decimal places. Do the initial (untested) findings show what the researcher expected? Enter your answer as a list of 3 items: P1, P2, yes or no. Do not add any extra spaces and pay attention to rounding. For example, a valid answer may look like .52,.14,yes or .25,.50,no. Untested, you compared them but you could have done that…

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