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)Small Dose Large DoseNo Drug173671Male111114143Female53LOO O n0Factor B (Row)

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Answered: consumed over a 48-hour period. Use an…

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 Economist collects data each year on the price of a Big Mac in various countries around the world. The price of a Big Mac for a sample of McDonalds restaurants in Europe in May 2009 resulted in the following Big Mac prices (after conversion to U.S. dollars):3.80 5.89 4.92 3.88 2.65 5.57 6.39 3.24The mean price of a Big Mac in the U.S. in May 2009 was $3.57. For purposes of this exercise, assume it is reasonable to regard the sample as representative of European McDonalds restaurants. Does the sample provide convincing evidence that the mean May 2009 price of a Big Mac in Europe is greater than the reported U.S. price? Test the relevant hypotheses using a = .05. Assume a normal distribution of the data. x = Ho: μ = Ha: Select an answer α= P-value = |: S= Based on the above we choose Question Help: Post to foru Submit Question (Put in the correct symbol and value) ✓ Select an answer Reject the null hypothesis Fail to reject the null hypothesis
You have conducted a two-way blocked ANOVA to determine if different selling methods produce different results. The methods are telephone, e-mail, in person, and in person & email. The employees’ lengths of employment are being used as blocks. Sales have been recorded in thousands. Your output appears as follows. Treatments Length of employment/blocks Telephone E-Mail In Person In Person and E-Mail Less than 5 years 55 44 59 60 6-10 years 58 49 64 68 More than 10 years 62 51 70 72 Set up all necessary hypotheses. Explain why blocking is being used in this analysis. Explain how subjects should have been assigned to the treatments.
Empathy among police officers influences how they interact with citizens and the likelihood that they receive complaints. Gender differences in levels of empathy in the general population are not large but male and female officers have been shown to have different interaction styles with the public; this may be due to the different empathy levels. After sampling officers and measuring their levels of empathy you find the following data. Males Females n = 6 n = 9 M = 31 M = 45 SS = 490 SS = 680 If you were going to make gender comparisons like this, which option would be the correct choice? Write A or B in the box. [a] Option A. Independent-measures t-test Option B. Repeated-measures t-test
Make your own 2 example of skewness and kurtosis
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Movie Drama Science Fiction Comedy Column Total 18-23 yr 10 12 8 30 Person's Age 24-29 yr 11 10 10 31 30-35 уг 13 8. 11 32 Row Total 34 30 29 93 (a) What is the level of significance? State the null and alternate hypotheses. Ho: Age and movie preference are not independent. H7: Age and movie preference are independent. H,: Age and movie preference are not independent. H: Age and movie preference are not independent. • Ho: Age and movie preference are independent. H: Age and movie preference are not independent. O Ho: Age and movie preference are independent. H,: Age and movie preference are independent. (b) Find the value of the chi-square statistic for the sample. (Round the expected…
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Mr. Acosta, a sodiologist, is doing a study to see ifr there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age 18-23 yr 24-29 yr Drama 15 34 Science Fiction 14 10 6 30 6. Movie 30-35 vr Row Total Comedy 10 | Column Total 9 10 29 31 93 32 30 A USE SALT new window for the SALT program (a) What is the level of arymLaner State the null and alternate hypotheses. OH: Age and movie preference are not independent H,: Age and movie preference are not independent. O H: Age and movie preference are independent. H,: Age and movie preference are independent. OH: Age and movie preference are not independent. H,: Age and movie preference are independent. O H: Age and movie preference are independent. H.: Age and movie preference are not independent. (b) Find the value of the chi-square statistic…
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 21 22 39 21 38 18 23 22 79 36 42 22 65 29 Ho: p = 0 Ha: p= 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is O Less than (or equal to) a Greater than a The p-value leads to a decision to O Reject Ho O Accept Ho O Do Not Reject Ho The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…
The boxplot below shows salaries for CPAS and Actuaries in a town. СРА Actuary 20 30 40 50 60 70 80 90 100 110 Salary (thousands of $) If a person is making the third quartile salary for a CPA, they are making less than % of Actuaries.
Ost watched Ani... Question 2 Y Part 1 of 4 A doctor in Cleveland wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 9% level of significance to test whether the average life span of heart disease patients in Cleveland differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 7.4, 7.8, 7.7, 7.5, 8, 8.2, 7.8, 8.6, 8, 7.8, 8.3, 8.3, 8, 7.6, 8.2, 7.9, 7.3, 8, 8.6, 7.3, 8.3, 8, 7.8, 8, 7.8, 8.1, 8.1, 8, 7.6, 7.6, 7.7, 7.4, 7.7, 7.8, 7.8 Life Span of Patients Treated at Hospital 2: 7.9, 7.9, 8.2, 8, 8.1, 8.5, 8.3, 8.4, 8, 8.2, 7.7, 8, 8, 7.8, 7.9, 8.1, 8.1, 7.8, 7.9, 8, 8.5, 8.3, 8.2, 8.3, 7.8, 7.9 Life Span of Patients Treated at Hospital 3: 8.2, 8.1, 7.4, 8.7, 8.6, 8.2, 7.9, 8.1, 8.1, 8.3, 8.3, 8, 7.6, 8, 7.4, 8.6, 8.2, 8.2, 7.9, 7.7, 8.1, 7.9, 8, 8.3 Life Span of…
A manufacturer of exercise equipment wanted to collect data on the effectiveness of their equipment. A magazine article compared how long it would take men and women to burn 200 calories during light or heavy workouts on various kinds of exercise equipment. The results summarized in the accompanying table are the average times for a group of physically active young men and women whose performances were measured on a representative sample of exercise equipment. Assume normality of the population. Complete parts (a) through (c) below. Click the icon to view the data table. C a) On average, how many minutes longer than a man must a woman exercise at a light exertion rate in order to burn 200 calories? Find a 95% confidence interval. minutes (Round to one decimal place as needed.) b) Estimate the average number of minutes longer a woman must work out at a light exertion than at heavy exertion to get the same benefit. Find a 95% confidence interval. (₁) minutes (Round to one decimal place…
A professor was interested in how exam performance related to study time. Just before an exam began the professor asked students in his class to write down how many hours they had studied for the exam in the past two weeks. He then compared their exam scores to the reported study time. What type of study did the professor carry out? ex post facto correlational case experimental

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consumed over a 48-hour period. Use an ANOVA with a=.05 to evaluate theses data, and describe the results (i.e. the drug effect, the sex difference, and the interaction).