of these research designs would you only control who gets an intervention and who does not?     Experimental     Cross-sectional     Quasi-experimental     Case-Co

Aspirin III: Decision and Conclusion Regarding the experiment in the data frame Aspirin from the abd package, the researchers wanted to know whether or not taking aspirin affects one's risk of developing cancer. Recall that they defined their parameters as follows: p1 = the proportion of ALL individuals who would develop cancer, if all of them were to take aspirin like the subjects in the Aspirin group did. p2 = the proportion of ALL individuals who would develop cancer, if all of them were to take a placebo, like the subjects in the placebo group did. They ran the code for a two-sided significance test and got the following results: ## ## ## Inferential Procedures for the Difference of Two Proportions p1-p2:##   cancer grouped by treatment ## ## ## Descriptive Results:## ##          yes     n estimated.prop## Aspirin 1438 19934        0.07214## Placebo 1427 19942        0.07156## ## ## Inferential Results:## ## Estimate of p1-p2:    0.0005805 ## SE(p1.hat - p2.hat):  0.002586 ## ##…

neat and clean answer pleasev

You want to determine if city of residence impacts salary due to the COVID-19 epidemic. You recruit 50 subjects each from St. Louis, Memphis, and New Orleans and record their salary in January and July of 2020. To determine the location, time (January vs. July) and combined . Assume all assumptions effects on salary, you would use a are met for a parametric test. Factorial ANOVA One-way repeated measures ANOVA Factorial repeated measures ANOVA One-way ANOVA

I need help with parts a AND b (towards the bottom of the page), please and thank you

need assistance

Herbal cancer A report in the New England Journal of Medicine notes growing evidence that the herb Aris-tolochia fangchi can cause urinary tract cancer in those who take it. Suppose you are asked to design an experi-ment to study this claim. Imagine that you have data on urinary tract cancers in subjects who have used thisherb and similar subjects who have not used it and thatyou can measure incidences of cancer and precancerouslesions in these subjects. State the null and alternativehypotheses you would use in your study.

Only one can be chosen

Please help me with this please and thank you! (Just part 4)

You perform an ANOVA to test that there are no main effects of factor A, no main effects of factor B, and no interaction between factors A and B. Some of the results are presented in the following ANOVA table. Source Between treatments Factor A Factor B A X B interaction Within treatments Total ANOVA Table SS 6.5667 0.0667 12.1667 df 5 29 MS 4.0333 1.2334 F 17.29 5.29 Work through the following steps to complete the preceding ANOVA table. 1. The main effect for factor A evaluates the mean differences between the levels of factor A. The main effect for factor B evaluates the mean differences between the levels of factor B. Select the correct values for the sums of squares for factors A and B in the ANOVA table. 2. Select the correct value for the within-treatments sum of squares in the ANOVA table. 3. Select the correct degrees of freedom for all the sums of squares in the ANOVA table. 4. Select the correct values for the mean square due to A X B interaction, the within treatments mean…