Question 3 Van den Bos et al. (2006) analyzed Y = Outcome Satisfaction for 138 participants in an experiment with two factors: Cognitive Busyness (low or high) and Out- come (equal to others, better than others, worse than others). The mean values for Y within each cell are given below. Create plot also don't use Chatgpt Outcome Equal to others Better than others Worse than others Cognitive Low Busyness High 6.5 (a) 6.3 (a) 3.0 (c) 4.0 (b) 1.6 (d) 2.0 (d) (a) Construct a profile plot that will allow you to inspect the apparent effects in the data. (b) The authors cite the following test statistics from the two-way ANOVA: Main effect for Outcome: F(2,132) = 236.56, p < 0.001 Main effect for Busyness: F(1,132) = 4.36, p < 0.04 Interaction: F(2,132) = 3.38, p < 0.04 Use this information, together with your profile plot, to write a short para- graph explaining the effects of these factors on Outcome Satisfaction. (c) The authors carried out "the least significant difference test for means (p < .05) with the six cells of our design serving as the independent variable." How many independent samples t tests are implied by this statement? (d) In the table above, cell means with the same letter in parentheses were not significantly different using the method described in part (c). The authors state "there were no effects of Cognitive Busyness within the equal-to-other and worse-than-other conditions." Is this consistent with your profile plot and the formal test statistics given in part (b)?

Asian Americans are a heterogeneous group often coined as one in national and state estimates of health data. Recent studies, however, have shown that some Asian American subgroups are more likely to die early due to cardiovascular disease and more likely to report metabolic syndrome. An epidemiologist wants to study the age of diagnosis of type 2 diabetes among two Asian American subgroups (Asian Indians, Koreans). The researcher had the following two questions: Is the mean age of diagnosis for type 2 diabetes among Asian Indians different than 55 years? Is the mean age of diagnosis of type 2 diabetes different between Koreans and Asian Indians? The epidemiologist should conduct which types of tests to answer the above 2 questions? None two-sample t test after checking for equal variance and a one sample t-test One-sample t test and two-sample t test after checking for equal variance One-sample t test and ANOVA One-sample t test and ANOVA

If a research study in biomedical field found a moderate negative and statistically significant relationship between two variables, which of the following statistical parameters would you expect to see? -.48, p<.05 -48, p<.01 -.68, p<.01 1, p<.01

time reports that the time married men with children spend on child care averages 6.4 hours per week. You belong to a professional group on family practices that would like to do its own study to determine whether the time married men in your area spend on child care per week differs from the reported mean of 6.4 hours per week. A sample of 40 married couples will be used with the data collected showing the hours per week the husband spends on child care.  what are the hypotheses if your group would like to determine whether the population mean number of hours married men are spending in child care differs from the mean reported by time in your area? what is the sample mean and the p-value? Select your own level of significance. what is your conclusion?

please show work, really need it to study!! thank you!!

You're a healthcare analytics professional working for Pawhuska, Oklahoma's fourth-largest hospital. You're examining the amount of waiting time that patients classified as ES5 (those with ailments that are not life-threatening) spend in the emergency room. You'll make some changes to emergency room procedures if you find that the mean ES5 waiting time is longer than 18 minutes, the industry standard. Based on a sample of 22 ES5 patients, you found an average and standard deviation of waiting times to be 19.2 minutes and 2.4 minutes, respectively. Draw basic conclusions with the CRITICAL VALUE APPROACH with 99% confidence. Р What is the probability that you conclude that no changes in the emergency room are needed when the actual waiting time for ES5 patients is 20 minutes?

How would I interpret the results of this calculation and how do they mean and median each represent the central tendency of this data set, and how and why do they differ in exact value?

One advantage of a within subjects ANOVA is that the participants serve as their own comparisons true or false?

What type of design type Is the study of social media use lead to stress among adults 18-35 ? Is it correlational, pretest-posttest, social r longitudinal?

You decide to invest in stock in a particular type of company and set the guideline that you will only buy stock in companies that are ranked in the 80th percentile or above in term of dividends paid in the previous year. You are looking at a company that ranked 24 of 89 companies that paid dividends in 2019. If you had data on the total dividends paid by each of the 89 companies, which measure of average would be the most meaningful – mean, median, midrange, or mode? Explain