The following are suggested designs for group sequential studies. Using PROCSEQDESIGN, provide the following for the design O’Brien Fleming and Pocock.• The critical boundary values for each analysis of the data• The expected sample sizes at each interim analysisAssume the standardized Z score method for calculating boundaries.Investigators are evaluating the success rate of a novel drug for treating a certain type ofbacterial wound infection. Since no existing treatment exists, they have planned a one-armstudy. They wish to test whether the success rate of the drug is better than 50%, whichthey have defined as the null success rate. Preliminary testing has estimated the successrate of the drug at 55%. The investigators are eager to get the drug into production andwould like to plan for 9 interim analyses (10 analyzes in total) of the data. Assume thesignificance level is 5% and power is 90%.Besides, draw a combined boundary plot (OBF, POC, and HP)

You've conducted a k-means cluster analysis and in your output you have the following average within-cluster distances for each cluster: Cluster 1: 0.946 Cluster 2: 1.332 Cluster 3: 0.865 Cluster 4: 1.098 From these average within-cluster distances, which cluster is the most homogeneous?   Question 3 options:   Cluster 1   Cluster 2   Cluster 3   Cluster 4

We will be using stress dataset to compare the stress level of college students and the general population. Stress level score is based on three metrics, 1. Responsiveness, 2. Exertion Balance, and 3. Sleep patterns. The scale is from 0 to 30, the lower the score the less stress. Use ANOVA to answer the following questions: Question Generate a boxplot of stress score by the group using proc boxplot in SAS. Describe your observations. Compare the means and variances of stress score by group. Explain if any of the assumptions of ANOVA is violated. Write out the ANOVA model. Assuming you want to compare the stress level of college students and the general population, write out the null and the alternative hypotheses. Fit a one-way ANOVA to compare the stress score for the college students and the general population. Using the result in question 5, test the hypothesis and make a statistical decision. What further statistical analysis might you perform if the null hypothesis is rejected.

Ankit

The American Community Survey is administered by the US Census Bureau annually. Two different random samples of size n=20 from the data for the year 2017 were selected. One of the variables of interest in the data set was annual salary (in thousands). A boxplot was created for each sample of 20 . Describe the similarities and the differences in the boxplots. Be sure to discuss skewness, variability, center, quartiles and outliers.

Information errors found while processing patient records fall into tow categories-major and minor.  Twenty samples of 5 records are chosen, and the total number of errors in each category is reported below. Assuming a weighting system of 50 and 10 for major and minor nonconformities, respectively, construct demerits per unit control chart.  Revise the control limits if necessary, assuming special causes for points that are out of control.  Explain each step. Use STATGRAPHICS Sample Major Error Minor Error 1 0 8 2 0 2 3 1 6 4 1 5 5 0 8 6 0 3 7 0 10 8 1 5 9 0 9 10 2 6 11 1 2 12 0 8 13 0 9 14 0 12 15 0 8 16 0 3 17 1 5 18 0 2 19 0 8 20 0 5

Consider the following research questions/study scenarios. For each study, discuss the most appropriate methods for describing the data (graphically and numerically).  What statistical method would be most appropriate for addressing the research questions?  Be sure to provide a justification of the statistical method.  What statistical test is needed, provide appropriate null and research hypotheses. An investigation of the association between drink preferences and the color of teeth is proposed. Subjects will be surveyed as to the type of drink most often consumed (coffee/tea. Juice, caramel-colored soda, water, or milk).  A clinical exam will be performed after dental cleaning to determine the color of the teeth (reddish brown, reddish yellow, gray, reddish gray).

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Table 1 summarizes the demographic and baseline data. Since two independent groups were included, the baseline data between these two groups were compared and p values were included in this table. Please tell which specific statistical test was used for the comparison between weight and stroke. Your answer should be as specific as possible. For example, was the test two-sided or one-sided? Was the test for paired samples or not?

Table 1 summarizes the demographic and baseline data. Since two independent groups were included, the baseline data between these two groups were compared and p values were included in this table. Please tell which specific statistical test was used for the comparison between number of intubation attempts and trauma. Your answer should be as specific as possible. For example, was the test two-sided or one-sided? Was the test for paired samples or not?