Cocaine addiction is hard to break. Addicts need cocaine to feel any pleasure, so perhaps giving them anantidepressant drug will help. An experiment assigned chronic cocaine users to take either an antidepressantdrug called desipramine, lithium, or a placebo. Lithium is a standard drug to treat cocaine addiction. Aplacebo is a dummy drug, used so that the effect of being in the study but not taking any drug can be seen.Here are the results after three years.Desipramine Lithium PlaceboRelapseNo relapse111921144What proportion of subjects who did not relapse took Lithium?Round your answer to three decimalplaces.

Probability quantifies the chances of an event happening. The probability values always lie in the…

Answered: Cocaine addiction is hard to break.…

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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Researchers found the influence of background noise on class performance for children. They found that calming music led to better performance on a math task compared to a no-music condition. A researcher selects one class of n = 18 student who listen to calming music. A second class of n = 18 serves as a control group with no music. The average for student in the first class is M = 86.4 with SS = 1550 compared to an average of M = 78.8 with SS = 1204 for students in the second class. Use α = .05. a. Is there a significant difference between the two music conditions? b. Compute the 90% confidence interval.
You are assigned to run a study comparing a new medication (X̅=17.47,n=19), an existing medication (X̅ = 17.94, n = 18), and a placebo (X̅=13.70, n=20), with higher scores reflecting better outcomes. Use SSB = 210.10 andSSW = 133.90 to test for differences.
Functional foods are those containing nutritional supplements in addition to natural nutrients. Kolodinsky, et al. (2009) examined attitudes toward functional foods for college students. For American students, the results indicated that females had a more positive attitude toward functional foods and were more likely to purchase them compared to males. In similar study, a researcher asked students to rate their general attitude toward functional foods on a 7-point scale (higher score is more positive). The results are as follows: Females Males n=8 n=12 M=4.69 M=4.43 SS=1.60 SS=2.72 a. Do the data indicate that females have a more positive attitude toward functional foods than males? Use α = .05 b. Compute the 95% confidence interval.
A recent study investigated whether the number of positive health behaviors (e.g., exercising, eating healthy) is predictive of a person's score on a happiness index, such that as positive health behaviors go up, happiness goes up. The results from the study, which was conducted with 12 people, were as follows: r = 0.63 and SSY = 56.0. What is the MSregression? What is the MSresidual? What is the calculated test statistic? Given the value of your calculated test statistic and your critical test statistic, do you reject the null?
Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…
24 men and 24 women were separated into different categories to test whether the effects of a drug were different in low doses vs. high doses. The table below summarizes the results. Use Excel to test the following. Use alpha = 0.05. %3D (a) Is there a difference between the males and females? (b) Is there a difference between the low and high dose groups? (c) Is there an interaction between a person's sex and their reaction to the dosage level? Male Female Low High Low High 2 6. 8 4 6. 8. 8. 6. 4 8. 4. 1o7 O0 0 0O7700 7 692 343 245 43
You are asked to design a study to investigate the effectiveness of the Atkins diet (IV = diet, DV = weight loss). Describe a study that would utilize a dependent t test as the test statistic.
A new cream was developed to reduce the irritation caused by poison ivy. To test the effectiveness, researchers placed an ad online asking for volunteers to participate in the study. One hundred subjects replied and were informed that one group would receive the new cream and the other group would Which of the following accurately describes the benefit of comparison in the experiment? O The overall level of irritation can be compared to see if the new cream had a significant effect. O The level of irritation for both groups can be receive a cream with no active ingredient. All 100 subjects were exposed to poison ivy. Fifty were then randomly assigned to the group with the new cream, and 50 were randomly assigned to the group with the cream with no active ingredient. After three days, the subjects' level of irritation was measured. compared to see if the new cream had a significant effect. O The level of irritation in the treatment group only can be compared to see if the new cream had…
A researcher wants to explore the differences in health effects from two different types of sugar. She hypothesizes that artificial sweetener has lower long term health benefits than natural sugar. She will change her methods this time... This time she will have people consume artificial sweetener for a year and measure their health benefits, and then she will have the same people consume natural sugar for the next year and measure their health benefits that year as well. What type of t-test should she use? Group of answer choices a) Paired Samples b) No answer text provided. c) One sample d) Independent Samples
The director of student services at Oxnard College is interested in whether women are just as likely to attend orientation as men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 355 395 No 247 239 What can be concluded at the a = 0.01 level of significance? For this study, we should use z-test for the difference between two population proportions a. The null and alternative hypotheses would be: V p2 Но: р1 that p1 and ul represent the proportion and mean for women and p2 and µ2 represent the proportion and mean for men.) vV (please enter a decimal and note H1: p1 p2 vv (Please enter a decimal) b. The test statistic -1.198 X (please show your answer to 3 decimal places.) c. The p-value = 0.2309 (Please show your answer to 4 decimal places.) d. The p-value is >v e. Based on this, we…
A) What is the effect size of the treatment using Cohen's d? B) The treatment increases well being and it is a small to medium effect. True False
A researcher evaluated the effectiveness of relaxation training in reducing anxiety. One sample of anxiety ridden people received relaxation training, while a second sample did not. Then anxiety scores were measured for all subjects, using a standardized test. Us the information summarized in the following table to complete this item. The Effect of Relaxation Training on Anxiety Scores Group Mean Anxiety Score SE Control group 36 12 Relaxation training 18 10 What is the DV (remember, the DV is the data)? What is the level of measurement of the DV? What is the best graph to display this data? Explain

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