Eating BehaviorThe following data are from a study examining the influence of a specific hormone on eatingbehavior. Three (3) different drug doses were used, including a control condition (no drugs), and thestudy measured eating behavior for males and females. The dependent variable was the amount of foodconsumed over a 48-hour period. Use an ANOVA with a=.05 to evaluate theses data, and describe theresults (i.e. the drug effect, the sex difference, and the interaction).Factor A (column)No Drug Small Dose Large Dose173671Male11111416432Female753No DrugSmall DoseLarge Dose1174936367491111111211114166361136416M = 2M= 7M= 3T= 10T= 35T= 15SS = 20SS = 26SS = 18322749525252539M= 4M= 1M= 1T= 5SS = 8T Col3 = 2020T= 5SS = 20T Col2 = 4028T Col1 = 30Factor B (Row) STAGE 1SSbndfbnSSwndfwnSStotdftotSTAGE 2SS ASS BSS Ax Bdf Adf Bdf AxBMean of SquaresWithin TreatmentsBetween TreatmentsMS AMS BMS AxBF RatioDecision MakingF rowcritF colcrritF AxBcritFAFBFAXB

Answered: Image /qna-images/answer/0d342db5-df83-45b6-ad5e-655376cd5415.jpg

Answered: The following data are from a study…

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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The Airline Passenger Association studied the relationship between the number of passengers on a particular flight and the cost of the flight. It seems logical that more passengers on the flight will result in more weight and more luaggage, which in turn will result in higher fuel costs. For a sample of 13 flights, the correlation between the number of passengers and total fuel cost was .37. Is it reasonable to conclude that there is positive association in the population between the two variables? H0: p≤0 Ha: p >0 Use the 5% significant level, what is the p-value?____________ What is your decision regarding H0 or the hull hypothesis? Reject or Do not Reject______________ Draw a conclusion. Specifically, what does this indicate about the question?
Dr. Mackintosh believes a new olfactory therapy would be more successful in promoting weight loss among obese patients. His patients are first weighed and then randomly assigned to olfactory therapy, dance therapy, or a control condition. At the end of the three weeks, the amount of weight lost is recorded. The results indicate no significant difference in the amount of weight lost between the three conditions. Identify the independent variable along with each level and the dependent variable.
In a study on television violence and aggression, researchers measured the TV viewing habits of 3rd grade males (preference for violent TV shows) and their levels of aggression; and then revisited the men 10 years later and measured the same variables. They found these zero-order correlations: Aggression G3 TV G3 Aggression Y18 Aggression G3 1.0 .65 .45 TV G3 1.0 .5 Aggression Y18 1.0 a) Suggest an operational definition to measure TV show preference for violent TV shows at Grade 3 and at Year 18. b) What is going on if the partial correlation of TV G3 and AGG Y18 with AGG G3 held constant is .09? How do you know this? c) What is going on if the partial correlation of AGG G3 and AGG Y18 with TV G3 held constant is .06? How do you know this?
A researcher investigates the relationship between study habits and college achievement. College seniors were administered the Inventory of Study Habits Survey (X) to measure study habits and the College BASE (Y) was used to measure overall college achievement. The correlation between the study habits and achievement was found to be 0.784. The researcher concluded that students with higher scores on the Study Habits Survey will always have higher college achievement scores on the College BASE. Is the researcher's conclusion correct? Why or why not?
A science project involves testing the effects of different types of music on plant growth. A sample of 24 newly sprouted bean plants is obtained. The plants are randomly assigned to each experimental condition (6 per group). The experimental conditions are: rock music, heavy metal, country, and classical. The dependent variable is the height of each plant after 2 weeks. The ANOVA results are summarized as follows: MSB = 10 and SSW =40. Construct a summary table for this study
In a certain study, the effect on oat yield was compared for the Pallinup, Overberg and Magnifico varieties of oats and four different concentrations of manure (0, 0.2, 0.4 and 0.6 tonnes per acre). Identify the experimental units, response variable, factor(s), levels of each factor and treatments.
They then decided to determine whether the effect of the phone depended on how dependent people were on their phones. They had participants complete a scale to measure phone dependence (e.g., I would have trouble getting through a normal day without my phone) and classified them as high or low in dependence. They then analysed working memory task performance in a 2 (location: outside, desk) x 2(dependence: high, low) ANOVA. In this design, "dependence" is a(n) O a. Independent variable O b. Extraneous variable O c. Dependent variable O d. Subject variable
A study of elementary school children, ages 6 to 11, finds a high positive correlation between shoe size x and score y on a test of reading comprehension. The observed correlation is most likely due to: the effect of a lurking variable, such as age or years of reading experience. a mistake, because the correlation must be negative. cause and effect (larger shoe size causes higher reading comprehension). reverse cause and effect (higher reading comprehension causes larger shoe size).
A team of epidemiologists at the Mayo Clinic wanted to find whether there is an association between obesity and cardiovascular disease (CVD). They conducted a prospective cohort study following obese and non-obese individuals who were free of CVD at the beginning of study for five years. The investigators were also interested in assessing age as a potential confounder, effect modifier, or both. Use the data below to answer the accompanying questions. CVD No CVD Total Obese 10 90 100 Not Obese 35 465 500 Total 45 555 600 CVD No CVD Total Obese 36 164 200 Not Obese 25 175 200 Total 61 339 400 1. Compute the appropriate measure of association for those who were less than age 50. 2. Compute the appropriate measure of association for those who were older or equal to age 50. 3. Compute the crude measure of association? 4. List three attributes that age must satisfy before it could…
Brunt, Rhee, and Zhong (2008) surveyed 557 undergraduate college students to examine their weight status, health behaviors, and diet. Using body mass index (BMI), they classified the students into four categories: underweight, healthy weight, overweight, and obese. They also measured dietary variety by counting the number of different foods each student ate from several food groups. Note that the researchers are not measuring the amount of food eaten, but rather the number of different foods eaten (variety, not quantity). Nonetheless, it was somewhat surprising that the results showed no differences among the four weight categories that were related to eating fatty and/or sugary snacks.Suppose a researcher conducting a follow up study obtains a sample of n = 25 students classified as healthy weight and a sample of n = 36 students classified as overweight. Each student completes the food variety questionnaire, and the healthy-weight group produces a mean of µ = 4.01 for the fatty,…

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