Independent Sample t-tests. For each question, conduct every step of the hypothesis testing process!1. One behavioral strategy to reduce food intake is to eat slower in order to allow physiological fullness signs to be detected (Azrin et al., 2008). To test this, a researcher provides one group with instructions to eat fast and a second group instructions to eat slow. The number of calories consumed is recorded. Test whether rating of eating influenced number of calories consumed using a .05 level of significance. What is the effect size for this study? What is the 95% confidence interval for this study?**Slow Group:**- Mean (\( \bar{x} \)) = 290- Sum of Squares (SS) = 149,212- Sample size (n) = 10**Fast Group:**- Mean (\( \bar{x} \)) = 470- Standard deviation (s) = 152- Sample size (n) = 8

Answered: 1. One behavioral strategy to reduce…

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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Data was collected at a tennis court. It showed that being older implies that a player will stay for a shorter length of time. What is likely true? O There is no correlation between age and length of stay. O There is a correlation between age and length of stay. There may or may not be causation. Further studies would have to be done to determine this. O There is a correlation between age and length of stay. However, there is no causation. This is because there is a decrease in the length of stay with an increase in age.
An epidemiologist found five cases of “big toe cancer” in the Yukon Territory. Because there were only a few cases, the epidemiologist decided to conduct a matched case-control study to determine whether shoe size larger than 9 is a risk factor for big toe cancer. Cases were individually matched to one control for daily activity, history of athlete’s foot, and history of ingrown toenails. The following data were gathered: Shoe size > 9 Pair Case Control 1 Yes No 2 No No 3 No Yes 4 Yes Yes 5 No Yes Compute the proper measure of association. Interpret your results. If you were to investigate a rare cancer in Lynchburg, where might you look for data? What would be necessary legally and ethically to be able to utilize this data set(s)? Submit your thread by 11:59 p.m. (ET) on Thursday of Module/Week 3, and submit your replies by 11:59 p.m. (ET) on Sunday of the same module/week. 1
3. Dependent-samples t-test. A researcher wants to examine if play therapy can be an effective treatment for nightmares in children. Parents for a sample of 5-year-old children record each incident of a nightmare for 1 month before starting play therapy. After the start of play therapy, they continue to report each incident of a nightmare for another month. Do the data indicate a significant change in the number of nightmares? Test at the .05 level of significance Number of Nightmares 1 month during treatment 1 month before treatment 23 20 26 22 22 18 19 20 21 18 a. Conduct a complete hypothesis test b. Compute r? c. Give a full APA-style write up of your results
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05. Correlation Results Correlation coeff, r: 0.969937 Critical r: + 0.2680855 P-value (two tailed): 0.000 B. There is one critical value at r= Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? Choose the correct answer below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.) A. Yes, because the absolute value of the test statistic exceeds the…
A study compared tooth health and periodontal damage in a group of 40 young adult males with a tongue piercing and a control group of 50 young adult males without tongue piercing. Here are the summary statistics: Group Sample size Mean of enamel cracks StDev of enamel cracks Tongue piercing 40 4.1 3.7 No Tongue piercing 50 1.3 1.6 One question of interest was whether individuals with tongue piercing had more enamel cracks, on average. Is there evidence at 1% level that young adult males with a tongue piercing have significantly more enamel cracks than young adult males without a tongue piercing? Which method will you use to perform the test? Choose the correct one. 1-sample T test 2-sample T test 2-sample Z test. 2-proportion Z test Which distribution will you use here? If you use t distribution, give the degree of freedom. If you use z or normal, give the mean and standard deviation.
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of α=0.05. Correlation Results Correlation coeff, r: 0.963947 Critical r: ±0.2680855 P-value (two tailed): 0.000 Determine the null and alternative hypotheses. H0: ρ is: = 0 H1: ρ is: ≠ 0 Given all the information provided: Identify the correlation coefficient, r. r= _____ (round to three decimal places)
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05 Question: Determine the null and alternative hypotheses
What was the power for this study?
Q1: Placebo effect of exercise In a high-profile research study, Crum and Langer (2007) performed an experiment to test whether the relationship between physical exercise and health is impacted by one's mindset: in other words, if there is any "placebo effect" of exercise. A sample of 84 randomly selected hotel workers in the United States were placed either into a treatment group (n=44) or control group (n=40) depending on which hotel they worked at. The treatment group was given information demonstrating how their work is good physical exercise, while the control group was not given this information. They measured the body mass index (BMI) for each worker before the experiment and again four weeks after the experiment. a. Are the treatment group and control group independent of each other, and if so why? b. Now consider the treatment group alone: are the measurements of BMI taken before and after the experiment independent of each other, and if so why? c. What is the most appropriate…
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?
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.

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