Can you explain this statement below in layman's terms?   Secondary Analysis with Generalized Linear Mixed Model with clustering for Hospital Center and ICUvs Ward EnrolmentIn a secondary adjusted analysis we used generalized linear mixed models with random effects forcenter (a stratification variable in the primary analyses). In this analysis, the relative risk for the primaryoutcome of 90-day mortality for 7 versus 14 days of antibiotics was 0.90 (95% Confidence Interval [CI]0.78, 1.05).

Question 3  This is a multiple choice question, which one is correct?

What is the difference between the population and sample regressionfunctions? Is this a distinction without difference?

When should you use a one-way ANOVA to analyze your data? Distinguish between one–way ANOVA for independent groups and a one–way Repeated Measures ANOVA.

wo groups of men, those dressed as Luke Skywalker and those dressed as storm troopers were measured for height in inches. Data in table below: Lukes Storm Troopers xbar=67 xbar = 70 n=14 n=11 sd = 1 sd = 3 Using this data, and the assumption that the population variances are equal, give a 90% confidence interval for mu (storm troopers) - mu (lukes) = μS - μL

Two-Way ANOVA If we have a goal of using the data described in Exercise 1 to (1) determine whether age bracket has an effect on pulse rates and (2) to determine whether gender has an effect on pulse rates, should we use one-way analysis of variance for the two individual tests? Why or why not?

Texting while driving: The accident rate for students who didn’t text while using a driving simulator was 7%. In a driver distraction study of 1,876 randomly selected students, the accident rate for students who texted while driving was higher than 7%. This difference was statistically significant at the 0.05 level. Which of the following best describes how we should interpret these results?  Because of the large size of the sample, these results are strong evidence that texting accounts for a much larger proportion of accidents in the population of student drivers.  With a large sample, statistically significant results suggest a large increase in the accident rate for the texting group over the control group.  With a large sample, statistically significant results may actually be only a small improvement over the control group (depending on the size of the increase in percentages).  Regardless of the sample size, a statistically significant result means there is a meaningful…

ABC Limited is a small company that produces premium toys for pets. It assumes that sales depend on the number of advertisements. The table below (named "ABC Limited") provides 50 sample data points (from the past) that show the relationship between the number of advertisements and sales of the company made. The company would like to determine if the number of advertisements impacts Sales and if so, by how much. Using excel, run a regression analysis (at a confidence level of 95%) for the data table given below. Based on the output you get, answer the following three questions:       1a. Provide an interpretation of the value you received for Multiple R, R-square, and Adjusted R-square. Explain what they mean in this context. 1b. Create a regression equation based on the output. Explain what does b0 and b1 imply in this context. Explain what Significance F and P-value for the X variable 1 imply in this context.  2). Assume that the company wants to use 34 (number of ) advertisements…

You are reading an article detailing a study designed to compare the average body massindex among hypertensive individuals (persons with high blood pressure) tonormotensive individuals. The study was conducted using participants in a health planoffered by a large insurance carrier. 200 randomly selected hypertensive participantswere compared to 200 randomly selected normotensive participants. The study reports a95% confidence interval (CI) for the mean difference in BMI between hypertensives andnormotensives. The 95% CI is (0.15 kg/m2, 2.43 kg/m2). However, no p-value isreported for testing the null hypothesis of no mean difference in BMI between the twogroups (a mean difference of 0 kg/mg2) versus the alternative of a non-zero meandifference. Luckily, you have taken this course, so you are able to determine:a. the p-value is < .05b. the p-value is > .05c. the p-value is exactly .05.d. the p-value is exactly .009e. None of the above.

By analysing historical transactions, a travel agent wishes to provide her clients with an estimated typical cost for a four-week vacation in Europe.  She would like this estimate to be representative of a typical vacation and, in particular, is concerned that extravagant spending by a small group of first class clients may distort the result.  Which measure of central tendency will be most useful to the travel agent?       Variance     Median     Range     Mean