If a factorial study involves a significant interaction, O there can be no significant main effects. any main effects might have been obscured by the interaction. all main effects have to be considered together. the result is an ex post facto study.
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- Olivia sees that in her data there is a relationship between regular exercise and a range of health outcomes, with those doing exercise having better outcomes. Olivia can claim which of the following statements A. there is evidence of a correlation between regular exercise and health outcomes in her group of UTS academics B. there is evidence of a causal relationship between regular exercise and health outcomes in the population of UTS academics C. there is evidence of a causal relationship between regular exercise and health outcomes in her group of UTS academics D. there is evidence of a correlation between regular exercise health outcomes in the population of UTS academics O She can claim only statement A O She can claim only statement C She can claim all statements O She can claim statements A and C O She can claim statements A and D She can claim statements B and CIf the omitted variable is negatively correlated with the treatment and has a positive impact on the outcome, the true causal effect is bigger than the estimated effect. Blank 1: enter "True" or "False" Blank 2: explain briefly (1-3 lines).Exercise is known to produce positive psychological effects. Interestingly, not all exercise is equally effective. It turns out that exercising in a natural environment (e.g., jogging in the woods) produces better psychological outcomes than exercising in urban environments or in homes (Mackay & Neill, 2010). Suppose that a sports psychologist is interested in testing whether there is a difference between exercise in nature and exercise in the lab with respect to post-exercise anxiety levels. The researcher recruits n 5 7 participants who exercise in the lab and exercise on a nature trail. The data below represent the anxiety scores that were measured after each exercise session. Treat the data as if the scores are from an independent-measures study using two separate samples, each with n 5 7 participants. Compute the pooled variance, the estimated standard error for the mean difference, and the independent-measures t statistic. Using a 5 .05, is there a significant difference…
- Suppose two variables are negatively correlated. Does the response variable increase or decrease as the explanatory variable increases?The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains.t One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for the Sun Coast times thought that it would be of interest to her readers to conduct a similar study for restaurants located on the Grand Strand section in Myrtle Beach, South Carolina. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled. Italian Seafood Steakhouse $12 $16 $24 13 18 19 15 17 23 17 26 25 18 23 21 20 15 22 17 19 27 24 18 31 Use a = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants. State the null and alternative hypotheses. O Ho: ralian * lseafood * lsteakhouse H: talian = lSeafood = ASteakhouse O Ho: Not all the…Answer true or false to each of the following statements and explain your answers. a. In a two-way ANOVA, if there is an interaction between Factor A and Factor B, then there must be a main effect due to at least one of the factors.b. In a two-way ANOVA, if there is no Factor A main effect and no Factor B main effect, then there can be no interaction effect between Factor A and Factor B.
- 11) Consider each of the following scenarios and state whether the variable in question is a confounder, or whether more information is needed to assess confounding. Choose from Yes / No / or Need more information, and provide a very brief explanation for your selection a) In a cohort study of liver cancer among males, incidence rates of liver cancer among men with unhealthy alcohol use are compared to incidence rates of liver cancer among non-drinkers. Is gender a confounder in this study? b) A case-control study of the risk of beer consumption and oral cancer among men (overall OR = 2.8). In this study, cigarette smoking is associated with beer consumption and is a risk factor for oral cancer among both beer drinkers (OR=3.6) and nondrinkers (OR=3.7). Is cigarette smoking a confounder in this study? c) In a study of the risk of pulmonary hypertension among women who take diet drugs to lose weight, the crude relative risk of pulmonary hypertension comparing diet drug users to…4. From 2007 to 2016, a different intervention each year has been given to promote community organization membership. Another indicator of the dynamics of WEEL is membership. The household survey respondents were also asked of the year that they became a member of any organization. Is the decision to become a member of the organization been equally likely across interventions? In case you want to replicate the iven results from R Commander, the collected data can be accessed in the householdsurvey worksheet. Write a brief narrative about the analysis (see R Commander Output #13) using these guide questions: a. What is the set of hypotheses to answer the objectives of the problem? b. What is the appropriate test procedure to use? c. Is there evidence that the membership in the organization is not equally likely across interventions (years)? d. Using the estimated proportions, which year recorded the greatest percentage of membership?A depression study reports the following findings. There were no significant differences on depression symptoms across ethnic groups (Asian, latino, caucasian, African american ) or across treatment location.(home vs. clinic). Which of the following statements about the design is TRUE. 1. This would be considered a 2×2 ANOVA 2. There are 4 independent variables included here. 3. The ethnicity variable has 4 level and the treatment location variable has 2 levels. 4.There's a total of 4 separate group in this study.
- When two independent variables produce effects when combined that would not be present if each independent variables was manipulated in a separate study, we say that there is O no main effect. O only a measured variable an interaction. O a planned comparison. rist and Stangor (2001) studied prejudice and found that you can't predict a person's behavior toward minorities on the basis of whether they are high or lowRecent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. Low Moderate High Moderate Moderately Severe Severe 1.6 2.9 3.8 3.4 0.9 1.3 3 2.8 1.8 3.1 3.3 3.2 2.7 3.7 2.4 4.9 3.8 2.9 3.7 3.2 4.9 1.7 From this table, conduct an one-way ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: What is your final conclusion? Use a significance level of a = 0.01. O There is sufficient evidence that there exists a significant difference between treatments. O…A doctor wanted to study the effect of four different treatments on mental health. A group of 100 adults experiencing depression volunteered for the study. The doctor randomly assigned one-fourth of them to each of four groups. Group 1 followed a specific exercise plan, group 2 followed a specific diet plan, group 3 followed an exercise and diet plan, and group 4 did not follow any plan. After 4 weeks, the doctor contacted each participant and asked them if they felt any better. The results are displayed in the table. The doctor would like to know if these data provide convincing evidence that the distribution of responses differs across the treatment groups in the population of all patients like these. The random condition is met. The 10% condition is not needed because random sampling did not take place. This table of expected counts shows that all expected counts are at least 5. What is the value of the chi-square test statistic? χ‑2 = 5.03 χ‑2 = 6.26 χ‑2 = 25.33 χ‑2 = 39.22