In factorial designs, the response produced when the treatments of one factor interact with the treatments of another in influencing the response variable is known as?
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In factorial designs, the response produced when the treatments of one factor interact with the treatments of another in influencing the response variable is known as?
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- A researcher who was interested in the pattern of voting of rural and urban voters in the 2000 elections took a sample of 600 voters and made the following findings: Of those who voted NDC, 120 were rural and 80 urban. Of those who voted NPP 100 were rural and 120 urban. Of the CPP voters 60 were rural and 20 urban. For the PNC, 70 voters were rural and 30 urban.Indicate which variable is dependent (Y) and which is independent (X) with reasons.Construct a crosstab and a percentage table showing the relationship between the independent and dependent variables.Write an analysis of the data captured in (a) aboveIn a study of fertilizers, researchers randomly selected 25 corn farms that use Brand A fertilizer and 25 corn farms that use Brand B fertilizer to participate. Each corn farm that uses Brand A was matched with a corn farm of similar acreage and soil type that uses Brand B. The difference in the number of bushels of corn produced in one growing season was determined for each pair. What type of study is this? (A) An observational study (B) An uncontrolled experiment (C) A randomized comparative experiment (D) A matched pairs experiment (E) A randomized complete block design experimentScenario: A researcher wants to study the effects of childhood stress, genetics, and their interaction for predicting aggression in adults. The researcher recruited 40 subjects, 20 reported they had no childhood stress and 20 reported they experienced severe childhood stress. The researcher is specifically interested in looking at the MAOA gene, because different versions of this gene are linked to aggression. The researcher conducts a genetic test and finds that half of subjects in each group have a gene for low MAOA activity and the other half have the gene for high MAOA activity. The researchers have the subjects self-rate their aggressive behavior over the last 6 months. 1. Given the scenario above, what are the null and alternative hypotheses? 2. Experimental design:a. What are the independent and dependent variables in this study? b. How many levels of each independent variable are there? c. What type of factorial ANOVA is this?
- 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…2Psychologists have identified 20 clients, 10 women and 10 men, and divided them into groups of five to determine the effect of matching the sex of the client and the sex of the therapist on the number of activities of daily living (ad1) performed by depressed clients. (a) Identify one of the independent variables. (b) Identify the other independent variable. (c) identify the dependent variable. (d) Using SPSS test all main and interaction effects at the .05 level of significance. Create a table including the cell means and marginal means and label each variable and level. State your null decision and conclusion (step 5 hypothesis testing) for all main and interaction effects. Label each effect clearly. Report in APA format the F statistics for all main and interaction effects. Be sure to report the best p-value possible.
- A medical researcher conducted an observational study to understand the recovery rate for patients infected with the COVID-19 in Malaysia. The researcher contacted thirteen COVID-19 survivors and interviewed them regarding their recovery experience. Two of the questions asked are the recovery period (in days) and the number of days that have passed since receiving the second dose of COVID-19 vaccine prior to infection. The recorded data is summarized as (at the image files). i) Identify the dependent variable in the study. ii) Calculate the correlation coefficient and interpret its value. iii) Estimate the regression model parameters and write the estimated linear regression model. iv) Based on your answer in iii), predict the recovery period if a person is infected with COVID-19 after 200 days of receiving second dose of COVID-19 vaccine. v) Table 1 represents the incomplete ANOVA table of the study. Find the values of P, Q, R and S. vi) Test the linearity between the two variables…You are interested in understanding the impact of Student Teacher Ratios (STR) on Test Scores (i.e., STR is your variable of interest and Test Scores are your outcome variable). Let’s pretend you have 2 models and you must only pick 1. The models along with mock results are in the table below. The coefficients are presented with standard errors in parenthesis. Further assume that the STR coefficient in Model 1 is less biased than the STR coefficient in Model 2. But as you can see, the STR coefficient in Model 2 is more precisely estimated (it’s statistically significant) than the coefficient in Model 1. Which model (Model 1 or Model 2) do you prefer and why. X1 and X2 are different control variables. You do not need to know what they are in order to answer this question – you only need to know that they are different. Y = Test Scores Model 1 Model 2 STR -1.4 (0.9) -3.7** (0.9) X1 5.6** (2.2) X2 4.6** (2.1) Constant 680*** (45)…Let Factor A have three levels and Factor B have five levels. If the interaction between A and B is significant, what is the value of ? for the q-curve if we are performing Tukey’s multiple-comparison procedure to determine which treatment means are different?
- 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…A medical researcher conducted an observational study to understand the recovery rate forpatients infected with the COVID-19 in Malaysia. The researcher contacted thirteen COVID-19 survivors and interviewed them regarding their recovery experience. Two of the questionsasked are the recovery period (in days) and the number of days that have passed since receivingthe second dose of COVID-19 vaccine prior to infection. The recorded data is summarized as i) Identify the dependent variable in the study. ii) Calculate the correlation coefficient and interpret its value. iii) Estimate the regression model parameters and write the estimated linear regressionmodel. iv) Based on your answer in iii), predict the recovery period if a person is infected withCOVID-19 after 200 days of receiving second dose of COVID-19 vaccine. v) Table 1 represents the incomplete ANOVA table of the study. Find the values of P, Q,R and S. vi) Test the linearity between the two variables at 4% significance level.1) For each of the following pairs of variables, is there likely to be a positive association, a negative association or no association? Briefly explain your reasoning. (a) Amount of alcohol consumed and performance on a test of coordination. (CHOOSE ONE) i) There is likely to be a positive association. As alcohol consumption increases, performance on a test of coordination will tend to increase. ii) There is likely to be a negative association. As alcohol consumption increases, performance on a test of coordination will tend to decrease. iii) No association would be expected between amount of alcohol consumed and performance on a test of coordination. (b) Height and grade point average for university students. i) There is likely to be a positive association. As height increases, grade point average for university students will tend to increase.There is likely to be a negative association. As height increases, grade point average for university students will tend to decrease.…