Recent research indicates that the effectiveness of antidepressant medication is directly related to theseverity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depressionscores, patients were divided into four groups based on their level of depression. After receiving theantidepressant medication, depression scores were measured again and the amount of improvementwas recorded for each patient. The following data are similar to the results of the study.F-ratio:LowModeratep-value:2.23.10.62.60.50HighModerate1.52.13.32.32.14.6ModeratelySevere2.74.74.74.63.73.3From this table, conduct ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers tothree decimal places.Severe3.82.45.34.74.24What is your final conclusion? Use a significance level of a = 0.02.O There is sufficient evidence that there exists a significant difference between treatments.O There is not enough evidence to determine a difference between the treatments.

One Way ANOVA is using to compare the means of two or more independent groups. To conduct One Way…

Answered: Recent research indicates that the…

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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Please answer (b) and (d)
A headache medicine is tested on an experimental group of 50 patients who have headaches. Out of these people, 37 of them say they felt better when taking the medicine. A fake pill (placebo) is given to 50 different patients, of whom 27 say they felt better after taking the "medicine". Is this enough evidence to show that a higher percentage of people in the experimental group were cured, compared to the control group? (Use a = .01) Type of Test: Hypotheses: Test Statistic: P-value: Decision: XC. In a sentence, what can be said about the medicine?
What is the summary of the overall model of the data shown in question 1? Is it one that you would trust from a statistical standpoint? specifically why ?
Two Different Depression Scales Example 1.28 introduces a study examining the impact of diet on depression. The study used two different ways to measure depression. One is the DASS (Depression, Anxiety, and Stress Scale) which uses self-reported symptoms, while the other is the CESD (Centre for Epidemiological Studies Depression Scale), which is a more involved clinical assessment. On both scales, higher numbers indicate greater depression symptoms.We are interested in whether we can use the self-reported data as a good predictor of clinical results (and hence a good starting point for patients). Figure below shows a scatterplot of the two depression scores for each of the 75 participants at the start of the diet/depression experiment (before the effect of any dietary intervention.) 70 60 50 40 30 20 10 10 20. 30 40 50 60 Self-reported (a) Does the association appear to be positive or negative? (b) Describe, in the context of this situation, the characteristics of a case in each of the…
If there is an interaction, is the interaction significant? That is, does the effect of maternal diet on passive avoidance depends on the levels of age(i.e., on whether the rat is adolescent or adult)? Why? Provide F-statistic, df of the numerator, df of the denominator , and p-value.
Steps 1,2, and three
A researcher is testing the effect of one independent variable using three treatment conditions. She compares three group means where there are different people in each group. It is best for her to use which type of statistical analysis?
Read this same passage and answer this question. Is it response variable or explanatory variable?
A study is designed to investigate whether there is a difference in response to various treatments in patients with Rheumatid arthritis. The outcome is the patient's self reported effect of treatment. The data are shown below. Is there a significnt difference in effect of treatment? Run the test at a 5% level of significance. Symptoms worsened no effect symptoms total improved Treatment 1 22 14 14 50 Treatment 2 14 15 21 50 Treatment 3 9 12 29 50
What is the distinguishing feature of a case-control study such as this? An epidemiologist performed a case-control study examining whether tobacco use was associated with oral cancer. The investigator recruited a random sample of 75 adults with oral cancer and 72 adults without oral cancer. Participants were interviewed and asked about their history of tobacco use. O Exposure status was assessed, and then the participants were followed up over time to see who developed the outcome. O The exposure and outcome were measured at the same time, so temporality cannot be established. O Participants were selected based on disease status, and then exposure status was assessed from the past. O The investigator randomized participants into exposure groups and then followed them to see who developed the outcome.
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.
A group of disabled women ages 65 and older were followed for several years. It was found that those who had a vitamin B12 deficiency were twice as likely to suffer from severe depressions than those who did not.a. Describe the type of study being performed.b. Describe the explanatory variable(s) and response variable(s).

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