You are interested in getting the effect of X on Y. You think that you need to control for Z, and you also want to know whether the effect of X on Y differs across group D. What should you regress Y on? Don't add any predictors that aren't necessary. X, D, and the interaction between X and Z X, D, and Z OX, D, Z, and the interaction between X and D OX, D, Z, and the interaction between X and Z X, Z, and the interaction between X and D
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- Suppose that we want to compare the cleansing action of three detergents on the basis of the following whiteness readings made on 15 swatches of white cotton cloth, first soiled with motor oil and then washed in an agitator-type washing machine: If the tabular values of F are 3.89 and 6.93 at 5% and 1% level of significance, what is the appropriate decision? (note: CRD). (show your solution) choices of correct answer: a. No significant difference b. Significant at 5% c. Highly significant at 1% d. Not significant at 1%I am having trouble interpreting what this statitical results are saying. "the summary of antimicrobial effects on bacterial reduction" The ANCOVA confirmed that the antimicrobial dose response was paralleled between the two bacterial species S. Typhimurium and E. faecium, and the interaction between antimicrobial concentrations and bacterial species was not significant (P > 0.05). Only antimicrobial concentrations of hydrogen peroxide and paracetic acid showed significant ( P < 0.05) reduction on S. Typhimurium and E. faecium on squash.A group of college students believes that herbal tea has remarkable restorative powers. To test their theory, they make weekly visits to a local nursing home, visiting with residents, talking with them, and serving them herbal tea. After several months, many of the residents are more cheerful and healthy. (a) Which of the following may be correctly concluded from this study? A. Herbal tea does improve one's emotional state, at least for the residents of nursing homes. B. The results of the study are not convincing because the effect of herbal tea is confounded with several other factors. C. The results of the study are not convincing because only a local nursing home was used and only for a few months. D. There is some evidence that herbal tea may improve one's emotional state. The results would be completely convincing if a scientist had conducted the study rather than a group of college students. (b) The lurking variable in this experiment is A. the emotional state of the residents.…
- In immune.xlsx, some individuals received a treatment of carotenoids (CAROT) and some received no treatment (NO). Carotenoids belong to a class of molecules called isoprenoids, many of them are antioxidants and some of them are vitamins such as vitamin A and its precursor beta-carotene, which is found in carrots. Because of the antioxidant properties of carotenoids the purpose of the study was to check if they have any effect on immunity. The column PHA gives quantitative measuremenst of cell-mediated immunity and the column SRBC gives quantitative measurements of humoral immunity. This is clearly a two-sample (non-paired) design. Therefore, you need to perform a Mann-Whitney-U test to check for differences. Bear in minds that rank assignments in Excel can be quite tricky and, therefore, if you need to do a Mann-Whitney rank assignment it is probably best to do this by hand. 1) What is the rank sum of the PHA data of the individuals, which received carotenoids and what is the…In immune.xlsx, some individuals received a treatment of carotenoids (CAROT) and some received no treatment (NO). Carotenoids belong to a class of molecules called isoprenoids, many of them are antioxidants and some of them are vitamins such as vitamin A and its precursor beta-carotene, which is found in carrots. Because of the antioxidant properties of carotenoids the purpose of the study was to check if they have any effect on immunity. The column PHA gives quantitative measuremenst of cell-mediated immunity and the column SRBC gives quantitative measurements of humoral immunity. This is clearly a two-sample (non-paired) design. Therefore, you need to perform a Mann-Whitney-U test to check for differences. Bear in minds that rank assignments in Excel can be quite tricky and, therefore, if you need to do a Mann-Whitney rank assignment it is probably best to do this by hand. 1) What is the rank sum of the SRBC data of the individuals, which received carotenoids and rank sum of…For each of the following three studies Identify whether the hypothesis can be tested experimentally or if it is a non-experimental hypothesis. What is the independent variable/grouping variable (and which is it, IV or GV)? What is the dependent variable? ***Be sure you use the correct label (H0 or H1/Ha) for your statistical hypotheses. Also, if make sure I know what the groups are (in other words, if you use m1 in your statistical hypothesis, make sure we know which group m1 is in the study design. Or use something other than numbers to let me know which mean is for which group.). 1. In a study of how well people can detect lying, male and female participants will try to detect deception in films of females talking to their friends, some of whom are lying.
- Which of the following is true about interaction effects? a.They explain information that is additional to each individual fixed effect. b.They occur when a confounding factor contaminates an experimental factor. c.All of these are true d.They are additive effects between two or more independent variables e.They are additive effects between two or more independent variables, and they explain information that is additional to each individual effectYou are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. This is because nausea is common for people who have the flu. From past studies you know that about 35% of people who get the flu experience nausea. You collected data on 1855 patients who were taking Tamiflu to relieve symtoms of the flu, and found that 705 experienced nausea. Use a 0.01 significance level to test the claim that the percentage of people who take Tamiflu for the relief of flu symtoms and experience nausea is greater than 35%. You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. This is because nausea is common for people who have the flu. From past studies you know that about 35% of people who get the flu experience nausea. You collected data on 1855…You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. This is because nausea is common for people who have the flu. From past studies you know that about 35% of people who get the flu experience nausea. You collected data on 1855 patients who were taking Tamiflu to relieve symtoms of the flu, and found that 705 experienced nausea. Use a 0.01 significance level to test the claim that the percentage of people who take Tamiflu for the relief of flu symtoms and experience nausea is greater than 35%. Calculate your test statistic (use ˆpp^ rounded to 4 decimal places). Round your test statistic to 4 decimal places. Calculate your p-value and round to 4 decimal places.
- You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. This is because nausea is common for people who have the flu. From past studies you know that about 35% of people who get the flu experience nausea. You collected data on 1855 patients who were taking Tamiflu to relieve symtoms of the flu, and found that 705 experienced nausea. Use a 0.01 significance level to test the claim that the percentage of people who take Tamiflu for the relief of flu symtoms and experience nausea is greater than 35%.a) Identify the null and alternative hypotheses? b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)? c) Identify the appropriate significance level. d) Calculate your test statistic (use ˆpp^ rounded to 4 decimal places). Round your test statistic to 4 decimal places. e) Calculate your p-value and round to 4 decimal places. f) Do you…The following data are from a two-factor study examining the effects of two treatment conditions on males and females. **Attached you will find the chart that goes with the question** A) Use an ANOVA with alpha = 0.05 for all tests to evaluate the significance of the main effects and the interaction. B) Compute n2 to measure the size of the effect for each main effect and the interaction.A fast-food chain decided to carry out an experiment to assess the influence of advertising expenditure on sales. Different relative changes in advertising expenditure, compared to the previous year, were made in eight regions of the country, and resulting changes in sales levels were observed the accompanying table shows the results. Increase in advertising expenditure (%) 0 5 15 20 25 30 35 40 Increase in sales (%) 5 10 18 25 35 50 60 65 Determine the value of ∑X, ∑X2, ∑Y, ∑Y2, ∑XY. Where X represent independent variable and Y for dependent variable. Determine and interpret the coefficient of correlation between the two variables. Determine the value of regressions coefficients and write down the simple linear regression model.…