If you have a research scenario in which the IV has three or more levels and is between subjects in nature with a quantitative DV, then you would use the One Way Between Subjects ANOVA. O True O False
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- You are investigating whether a new treatment for depression works better than two established treatments. You randomly assign 90 participants to one of three groups (New Treatment. Established Treatment 1, and Established Treatment 2). Because these are all new types of treatment for depression you don't have any previous research or theory on which to suggest that one treatment will be better or worse than another. After the experiment is completed you explore the mean group differences you found. In so doing you would be conducting O Tukey's post hoc tests O a correlated groups t-test O effect sizes an a priori (planned) comparisonIf the power of an experiment is low then The experiment will likely be inconclusive. Any significant findings obtained are suspect. The results are skewed.Using the latest in medical technology, an orthopedic doctor has developed a new surgical procedure that he believes is an improvement over the standard procedure. He wants to study whether the mean recovery time of patients who have the new procedure is less than the mean recovery time of patients who have the standard procedure. The doctor studies a random sample of 11 patients who have the new procedure and a random sample of 9 patients who have the standard procedure. (These samples are chosen independently.) The doctor records each patient's recovery time (in days). The patients who had the new procedure have a sample mean recovery time of 367.3 with a sample variance of 2851.8. The patients who had the standard procedure have a sample mean recovery time of 420.9 with a sample variance of 98.1. Assume that the two populations of recovery times are approximately normally distributed. Can the doctor conclude, at the 0.01 level of significance, that the population mean of the…
- You are conducting a study to see if the proportion of voters who prefer the Democratic candidate is significantly larger than 50% at a level of significance of a = 0.10. According to your sample, 49 out of 92 potential voters prefer the Democratic candidate.Now assuming the professor is female. What is the predicted difference in performance between a female and a male student now?Management of a theater in a large city wants to know whether its popularity increased after it ran a popular musical. According to a previous study, 25% of city residents said they had been to the theater in the past year. A more recent study, conducted after the musical had run for a year, found that 156 of 536 residents sampled said they had been to the theater in the past year. Is there evidence at the ? = 0.05 level that the number of residents who have been to the theater has increased in the last year?
- Here is the scenario for your Between Subjects Independent One Way ANOVA: Dr. Xena is interested in determine which type of therapy best helps persons with bipolar depression. She gathers a random and representative sample of men and women ages 18-95 years of age who have a diagnosis of Bipolar Depression who are taking Lithium for at least 6 months. She randomly assigns participants to conditions and measures well being scores after 4 months of therapy. Well being scores range from 0-100, with 100 being high well-being (feel good and experiencing no mood swings). Here is the data: Cognitive Therapy EMDR Therapy Psychoanalytical Therapy 15 72 28 78 91…In a study of 301 Hispanic women living in San Antonia, Texas, one variable of interest was the percentage of subjects with impaired fasting glucose (IFG). IFG refers to a metabolic stage intermediate between normal glucose homeostasis and diabetes. In the study, 24 women were classified in the IFG stage. The article cites population estimates for IFG among Hispanic women in Texas as 6.3%. Is there sufficient evidence to indicate the population of Hispanic women in San Antonio has a prevalence of IFG higher than 6.3%? Use 95% confidence level and the p -value method to form your conclusion. Choose the correct null and alternative hypothesis.In a national survey of 2013 adults, 1283 indicated that they believe rudeness is a more serious problem than in years past. Does this indicate that more than 3/4 of American adults believe rudeness is a worsening problem? State the null hypothesis. Ho: p>.75, where p is the true proportion of Americans who believe rudeness is worsening. Ho: p<.75, where p is the true proportion of Americans who believe rudeness is worsening. Ho: p -.75, where p is the true proportion of Americans who believe rudeness is worsening.
- 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 lowYou also conducted a review of the research literature and found that similar studies examining the relationship between alcohol consumption and liver cancer found the following: Smithson et al. RR 3.3 (95% CI:1.95-5.20) Ribera et al. RR 2.1 (95% CI:1.17-3.33) Gonzalez et al. RR 2.75 (95% CI 2.26-3.45) Which one of Hill’s criteria does this illustrate? Explain.Help please! (b) Despite the results being statistically significant, the authors stated in their article about the first study: "The field study did not support an examination of why more creative store windows led consumers to enter the stores. … The use of actual retailers' real store windows meant that the level of creativity was not the only variable that differed among the retailers and their windows." How does the second study address some of those drawbacks? Does either study suffer from a lack of realism? Choose the best explanation. A) The drawbacks in the first study were that it was an observational study and that it did not control for confounding variables (such as variations in merchandise and potential customers). The second study addresses these drawbacks by using the same retailer and the same merchandise, and by only changing the creativity of the window display. Neither study suffers from a lack of realism, since statistically significant results were…