Research Question ?

Describe the sampling strategy for the research study?

Describe the variables that were observed and how they were assigned to groups?

Describe the quantitative results of the study using only the final test statistic and the p-value?

Interpret the p-value and the probability of the sample result being generalized to the population?

Provide context and briefly define the following concepts from the article sampling, distribution, and probability?

Using info bellow

Binary Outcome: Within Center Randomization Binary Outcome: Within Center Randomization 80.8 1.0 0.0 02 04 0.6 0.8 1.0 Null Hypothesis Rejection Rates Null Hypothesis Rejection Rates 10 0.2 0.40 1000 2000 3000 4000 5000 6000 170 0.75 0.80 0.85 0.80 0.95 1.00 Sample Size Effect Size (Odds Ratio) Fig. 4 Null hypothesis rejection rates for a binary outcome using within-center randomization with varying sample sizes and effect estimates (assumed to be an ICC of 0.05) Binary Outcome: Within Center Randomization Binary Outcome: Within Center Randomization 0,30 0.30 690 0.20 0.20 Type I Error Rates Type II Error Rates 0.10 0.10 gogogogogoodg 0.00 0.00 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.00 0.05 0.10 0.15 0.20 0.25 0.30 ICC (Total Variance Increasing) ICC (Total Variance Increasing) Fig. 5 Effects of within-center randomization on type I and type ll error rates for a binary outcome with increasing between-center variability (increasing ICC) but with fixed total varianceIdentify The total variance assumed for the outcome at the design phase of the trial At the end of the study, compute the Intraclass Correlation Coefficient (ICC) ICC