I am interested in knowing how best to treat depression; I want to measure the impact of different treatments on depressive symptoms. I assign 30 individuals diagnosed with major depressive disorder into 3 separate groups: 1) no treatment 2) 10mg of a common antidepressant, and 3) an exercise regimen. The DV is the number of depressive symptoms one week after treatment. Using the following data, run a between-subjects ANOVA at alpha = 0.05 to determine whether type of drug has an effect on symptoms. Control/No Treatment 10mg Antidepressant Exercise 6 3 0 10 4 2 5 2 2 10 4 3 7 5 1 9 5 1 7 4 3 9 3 0 9 5 2 6 2 1 . Complete the ANOVA Summary Table: Source Sums of Squares df MS (Variance) F Between-groups Within-groups Total What do we conclude?

I am interested in knowing how best to treat depression; I want to measure the impact of different treatments on depressive symptoms. I assign 30 individuals diagnosed with major depressive disorder into 3 separate groups: 1) no treatment 2) 10mg of a common antidepressant, and 3) an exercise regimen. The DV is the number of depressive symptoms one week after treatment. Using the following data, run a between-subjects ANOVA at alpha = 0.05 to determine whether type of drug has an effect on symptoms. Control/No Treatment 10mg Antidepressant Exercise 6 3 0 10 4 2 5 2 2 10 4 3 7 5 1 9 5 1 7 4 3 9 3 0 9 5 2 6 2 1 . Complete the ANOVA Summary Table: Source Sums of Squares df MS (Variance) F Between-groups Within-groups Total What do we conclude?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

See similar textbooks

Similar questions

A study on the effects of color on easing test anxiety compared anxiety test scores of participants who completed a test printed on either soft yellow paper or harsh green paper. The scores for the 10 participants who completed the yellow and the 10 participants who completed it on the green paper are below (Table 5). Using an alpha level of .05, do participants who use the yellow paper report lower test anxiety than those who wrote it on the harsh green paper? Table 5. Anxiety scores
Is the birth rate of the infants in this sample significantly different from that of the general population at alpha level of 0.05? Explain your response.
A nationwide study of undergraduate students reported that the mean number of drinks consumed per week during the spring semester is 7.96. The mean number of drinks consumed per week at USC is 7.64 (s.d.=2.55, N=412 Health services is concerned that USC students are consuming significantly more alcohol per week than the national average. Using an alpha level of .05, Is there sufficient evidence to be concerned? Be sure to select the correct critical value for the alternative hypothesis, and then use this evidence to make your conclusion
Alexa hypothesizes that consuming whole-grain cereal for breakfast will cause students to take part in more exercise throughout the day. Assuming that she chooses an alpha level of .05, what is the critical z of her test?
If I have a sample of 20 people what is my T-threshold for a two-tail test and an alpha of 0.1 percent?
To combat antibiotic resistance, the Quality Improvement Consortium recommends a throat swab to confirm strep throat before a physician prescribes antibiotics to children under age 5. Nationally, 40 percent of children under 5 who received antibiotics did not have a throat swab. The Colorado Department of Health took a random sample of 100 children under the age of 5 who received antibiotics for throat infections and found that 30 did not have a throat swab. At α = .05, is this a statistically significant reduction over last year’s national rate of 40 percent? (a-1) Choose the correct null and alternative hypotheses. H0: π ≥ .40 vs. H1: π < .40 H0: π ≤ .40 vs. H1: π > .40 H0: π = .40 vs. H1: π ≠ .40 (a-2) Calculate the critical value. (A negative value should be indicated by a minus sign. Round your answer to 3 decimal places.) Critical value (a-3) Calculate the test statistic. (A negative value should be indicated by a minus sign. Round your…
A car company claims that their Super Spiffy Sedan averages 31 mpg. You randomly select 8 Super Spiffies from local car dealerships and test their gas mileage under similar conditions. You get the following MPG scores: MPG: 30 28 32 26 33 25 28 30 Does the actual gas mileage for these cars deviate significantly from 31 (alpha = .05)?
To combat antibiotic resistance, the Quality Improvement Consortium recommends a throat swab to confirm strep throat before a physician prescribes antibiotics to children under age 5. Nationally, 40 percent of children under 5 who received antibiotics did not have a throat swab. The Colorado Department of Health took a random sample of 60 children under the age of 5 who received antibiotics for throat infections and found that 18 did not have a throat swab. At α = .05, is this a statistically significant reduction over last year’s national rate of 40 percent? (a-1) Calculate the critical value. (A negative value should be indicated by a minus sign. Round your answer to 3 decimal places.) Critical value _____ (a-2) Calculate the test statistic. (A negative value should be indicated by a minus sign. Round your answer to 2 decimal places.) Test statistic _____
Can I use CRONBACH’S ALPHA in testing the reliability of the device? How?
A researcher conducted a repeated measures study comparing three treatment conditions. Refer to attached images and tale to answer a to d. Mean Std. Deviation N Treatment I 1.00 1.414 5 Treatment II 5.00 2.345 5 Treatment III 6.00 1.581 5 In APA format, report the F-ratio related to the treatment effect: Is this treatment effect significant? What is the partial η2 value for the treatment effect? Is this a weak, moderate, or strong effect?
Are sexually active teenagers any better informed about AIDS and other potential health problems related to sex than teenagers who are sexually inactive? A 15 – item test of general knowledge about sex and health was administered to random samples of teens who are sexually inactive, teens who are sexually active but with only a single partner, and teens who are sexually active with more than one partner. Is there any significant difference in the test scores? Test the hypothesis at α = 0.05. Inactive Active (One Partner) Active (More than One Partner) 10 11 12 12 11 12 8 6 10 10 5 4 8 15 3 5 10 15
A researcher reports an F-ratio with dfbetween = 2 and dfwithin = 30 for an independent-measures ANOVA. a. How many treatment conditions were compared in the experiment? b. How many subjects participated ion the experiment?