In a factorial design, one can look at simple effects, main effects, and interaction effects. What do these different aspects tell us about an experiment?
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In a factorial design, one can look at simple effects, main effects, and interaction effects. What do these different aspects tell us about an experiment?
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- A two-factor study investigates the effects of self-esteem (low vs. high) and gender (males vs. females) on anxiety scores. The following data represents the means for each treatment condition. Low self-esteem High self-esteem Male 5 11 Female 10 3 The data shows that there is a self-esteem by gender interaction. Explain the self-esteem by gender interaction (include individual means in your explanation)Suppose we are interested in comparing the proportion of male students who smoke to the proportion of female students who smoke. We have a random sample of 150 students (60 males and 90 females) that includes two variables: Smoke = "yes" or "no" and Gender = "female (F)" or "male (M)". The two-way table below summarizes the results. Smoke = Yes Smoke = No Sample Size 60 90 Gender = M Gender = F Reference: 3-15-No Tech 9 9 51 81 Describe how to use the data to construct a bootstrap distribution. What value should be recorded for each of the bootstrap samples.You are a researcher examining student success at Kern County colleges and universities. You noticed that majority of students in Kern County are not performing as well as the students in Los Angeles County and San Luis Obispo County. Therefore, you decided to research factors that influence student success. One factor repeated in several literatures is a support system. Previous literature indicated that students who have a support system that values education will perform better in higher education than students who do not have a support system that values education. You decided to assess the support system of students in Kern County. Your independent variable is “support system.” You have two levels for your support system “students with a support system that values education” and “students without a support system that values education.” Your dependent variable that you are measuring is “college success.” You are measuring college success by assessing the student’s GPA. You…
- You are interested in testing if there is a difference in weight-loss between 3 popular diet types; low calorie, low fat and low carb. Participants are randomly assigned one of the three groups or a control group. The control group will be told that are participating in a weight-loss study, but will not be following any particular diet. This is to study the placebo effect, weight-loss from just participating in the study. At the start of the study, each participant's weight is recorded in pounds. After 8 weeks they are weighed again, and the weight difference is recorded. A positive value represents a weight loss while a negative value represents a weight gain. Test at 5% significance. Round answers to 3 decimal places. Diet Type Low Calorie Low Calorie Low Calorie Low Calorie Low Calorie Low Fat Low Fat Low Fat Low Fat Low Fat Low Carb Low Carb Low Carb Low Carb Low Carb Control Control Control Control Control Pounds Lost 6.9 4.7 3.5 7.7 5.9 3.8 1.4 3.8 5.2 2 4.9 2.6 2.7 5.6 3.4 1.3…You are a sales manager for a grocery store, and you want to see if the introduction of a new sales promotion will increase the sales in your store. To do so, you decided to create an experiment by giving a small sample of customers the promotion before expanding it to a larger customer base. You gave 18 people the promotion, and also observed the sales of 27 people who did not get the promotion as a control group. You found those who received the promotion to have an average monthly sales of $456.60, with a sample standard deviation of $52.23. You found those who did not receive the promotion had an average monthly sales of $361.46, with a sample standard deviation of $56.11. Suppose you want to use hypothesis testing (two-sample test) to investigate if the promotion has increased the sales of your store. Using the order promotion no promotion in your hypothesis test, what is the value of the test statistic for your analysis? Note: 1- Only round your final answer. Round your final…Study 2: Pill Appearance and Perceived Pain. Does the shape or color of a pain pill influence its effectiveness? Although logically it shouldn’t, whether we believe a drug will work does have a powerful effect on our perceptions (e.g., placebo effect). In this experiment, 4 groups of adult patients were given the same amount of Advil after dental surgery for pain relief, but the color and shape of the pill varied. Researchers hypothesized that an unusual shape or color would lead people to believe the pills were new and special and thus would expect them to be more effective than common round, white pills. Researchers also wanted to know if there is an interaction between shape and color Data Labels ShapePill {1=Round; 2=Diamond} ColorPill {1=White; 2=BlueGreen} Gender {0=Woman; 1=Man; 2=Nonbinary person) Descriptions of the Variables and Descriptive Statistics: Referring to the JASP output, and using sentences, present the descriptive statistics of each group: for example:…
- Why is a scatter diagram important?Question #10 Please explain The three principles of designing experiments are to control, randomize, and replicate. Which of the following statements is not true about these important principles? Considering (controlling) more variables in planning an experiment helps ensure each study group is similar to the other study groups. Using a control group with a placebo is important since otherwise folks in the control group may behave differently than those in the treatment group. Randomizing individuals into groups is one component to prevent accidental bias from creeping into a study. We can always generalize the result of a study to the greater population so long as we randomize which patients go into which study groups. Studying many cases (e.g. including many patients in a study) is often more helpful than just including a few cases in the study. If we collect more information on each case (e.g. take repeated measurements on each individual) that might be helpful to obtaining more…You are interested in testing if there is a difference in weight-loss between 3 popular diet types; low calorie, low fat and low carb. Participants are randomly assigned one of the three groups or a control group. The control group will be told that are participating in a weight-loss study, but will not be following any particular diet. This is to study the placebo effect, weight-loss from just participating in the study. At the start of the study, each participant's weight is recorded in pounds. After 8 weeks they are weighed again, and the weight difference is recorded. A positive value represents a weight loss while a negative value represents a weight gain. Test at 10% significance. Round answers to 3 decimal places. Diet Type Low Calorie Low Calorie Low Calorie Low Calorie Low Calorie Low Fat Low Fat Low Fat Low Fat Low Fat Low Carb Low Carb Low Carb Low Carb Low Carb Control Control Control Control Control Pounds Lost 5.3 6.6 10.5 6.4 8.9 5 4 0.2 2.9 2.6 4.6 2.9 0.8 2.4 2.5 1.9…
- Which research design studies only people who are initially free of the disease of interest? Explain how this study design is different from the rest of the research designs a. Case control b. Cohort c. Cross sectional d. ExperimentalFor an experiment comparing two methods of teaching social skills training to autistic children, the independent variable is and the dependent variable is Question 11 options: teaching methods; the autistic children the autistic children; the social skills that are learned the social skills that are learned; the autistic children teaching methods; the social skills that are learnedPls help ASAP. Pls show all work.