State the hypotheses for each of the three separate tests included in the two-factor ANOVA.
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A: The required four assumption for two-way ANOVA as follows;
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A: Sample size(n)=143 Population proportion(P)=0.04 q=1-p q=1-0.04=0.96
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A: Given data: The researchers obtained a significant test statistic when comparing three treatments in…
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A: sample size(n)=173 Population proportion(P)=0.08 q=1-p q=1-0.08=0.92
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A: Given : A newsletter publisher believes that 48 % of their readers own a laptop.
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- Statistics QuestionA researcher conducts an independent-measures study examining how the brain chemical serotonin is related to aggression. One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin. A second sample of rats receives a drug that lowers brain levels of serotonin. Then the researcher tests the animals by recording the number of aggressive responses each of the rats display. The data are as follows. Control Low Serotonin n = 10 n = 15 M = 14 M = 19 SS = 180.5 SS = 130.0 A. Does the drug have a significant effect on aggression?Use an alpha level of .05, two tails. H0 = ________________________________________ df = _________________________________________ tcritical =…A researcher conducts an independent-measures study examining how the brain chemical serotonin is related to aggression. One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin. A second sample of rats receives a drug that lowers brain levels of serotonin. Then the researcher tests the animals by recording the number of aggressive responses each of the rats display. The data are as follows. Control Low Serotonin n = 15 n = 20 M = 18 M = 22 SS = 172.5 SS = 135.0 a. What research design was used to answer this question? b. What was the scale of measurement for the dependent variable? c. What was the scale of measurement for the independent variable? d. Does the drug have a significant effect on aggression? Use an alpha level of .05, two tails. e. Compute r2 and write an…
- Carter et al investigated the effect of age at onset of bipolar disorder on the course of the illness. One of the variables studied was the subjects' family history. The table below shows the frequency of a family history of mood disorders in the two groups of interest: early age at onset (18years or younger) and later age at onset (later than 18 years old). Can we conclude on the basis of these data that subjects 18 or younger differ from subjects older than 18 with respect to family histories ofmood disorders? Ref: J Psychiatric Research 37(2003), 297-303.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?A sports psychologist studied the effect of a motivational program on number of injuries in one year among players of three different sports (baseball, football, and basketball). Players were randomly assigned to one of two conditions: either participate in a motivational program or none (control). Data was collected on the number of injuries sustained by each athlete that season. Question: If p = .024 for the main effect of sports, what should the researcher conclude?
- The following data were obtained from a two-factor independent-measures experiment with n = 5 participants in each treatment condition. What is the F- value for the interaction/AxB effect B1 M 3T=15 M=6T=30 M=9T=45 SS = 28 B2 B3 A1 SS = 18 SS- 26Researchers study the relationship between interpersonal violence and health in colege age women. The researchers report an OR for the use of analgesics among abused versus non abused women (OR 1.45, 95 % , CI 0.97-2.15). Based on this information, you know: In this study women who were abused were 4.5 times as likely to report analgesic use This is a clinically significant result There is no significant difference in analgesic use for abused and non-abused women Abused women are significantly more likely to use analgesicsintroduces a study investigating whether a brief diet intervention might improve depression symptoms. In the study, 75 college-age students with elevated depression symptoms and relatively poor diet habits were randomly assigned to either a healthy diet group or a control group. Depression levels were measured at the beginning of the experiment and then again three weeks later. The response variable is the reduction in depression level (as measured by the DASS survey) at the end of the three weeks. Larger numbers mean more improvement in depression symptoms. Test whether these experimental results allow us to conclude that, on average, improvement of depression symptoms is higher for those who eat a healthy diet for three weeks than for those who don't. The data is available on StatKey and in DietDepression. Let Group 1 represent those with a healthy diet and Group 2 represent those with no diet change. State the null and alternative hypotheses.
- A researcher conducts and independent- measures study examining the effectiveness of a group exercise program at an assisted living facility for elderly adults. One group of residents is selected to participate in the program, and a second group serves as a control. After 6 weeks, the research records a combined score measuring balance and strength for each individual. The data are as follows: Control Exercise n = 10 n = 15 M = 12 M = 15.5 SS = 120.5 SS = 190.0 %3D 1. Does the exercise program have a significant effect? Use an alpha level of .05, two tails. Show all calculations. a. State the research hypotheses b. Identify the critical value c. Calculate the test statistic d. Evaluate the null hypothesis 2. Compute Cohens d to measure the effect size of the treatment.It is common for baseball pitchers to use stretching to prepare for a game. But does this make a difference? The authors of a paper on the effects of stretching in baseball carried out an experiment to compare two different types of stretching and a control treatment consisting of no stretching. Participants were adult males with varying levels of baseball throwing experience and who were not professional or collegiate baseball players. Participants in the two stretching treatments went through a warm-up that included 8 minutes of stretching. Each participant (all three groups) then threw 10 pitches, and the average speed (km/hour) was calculated. (a) Explain why it is important that the participants be assigned at random to the three different treatment groups (Stretching Method 1, Stretching Method 2, and No Stretching). Random assignment ensures that our experiment systematically favors one experimental condition over all others and attempts to create experimental groups that are as…The following results are from an independent-measures, two-factor study with n = 5 participants in each treatment condition. Use a two-factor ANOVA with α = .05 to evaluate the main effects and the interaction. Include a source table for your ANOVA.
