Part I. part of this nal exam , you will use a hypothetical dataset 'Anti -inflammation drug and ial data Wi21 FE.xlsx ', comparing the effectiveness of three anti -inflammation rents in helping patients recover from Covid -19 (i.e., how long it takes to recover and be from the hospital ). Recovery is operationalized as length of stay in the hospital or number Ie discharged from the hospital . In other words , we want to see which of these three rents help patients recover fastest from Covid -19 using length of hospital stay as a proxy . ressed over the past year or 50, hospitals are overwhelmed with Covid -19 patients and very is critical .) dent [predictor variable is the Treatment with three randomly assigned group of Covid -19 oup #1 received the standard treatment that includes the drug Dexamethasone , Group #2 atment that includes the new drug Tocilizumab , Group #3 received treatment that includes g Sarilumab nt [outcome variable is recovery time , i.e., the number of days to be discharged from the includes three additional variables that may make difference in recovery time regardless of int they are receiving (Age ) (Sex) (1=Female , 2=Male ) 3 /Ethnicity (1=Asian ,2=American Indian [Alaskan Native , 3=Black [African American , [ispanic , 5=Native Hawaiian ,6=Wl'rite , 7=Mixed race) and General Instruction : irentiate your answers/responses in some way. You can use boldface , use different color ight your answers . thetical dataset , the variable Days to discharge has 61 subjects leases with missing data. are assumed to be deceased from Covid 19. bar charts for each categorical variable .Create histograms and descriptive tables (includes f central tendency , variation , and skewness and kurtosis )for each continuous variable . Copy ll bar charts , histograms , and descriptive tables onto the answer sheet . Then describe trends , d exceptions displayed in the graph . (5 points ) 1 the research questions below, state the independent and dependent variables (or Variable 1 le 2) and level of measurement. Write null and research/alternative hypotheses. Then appropriate statistical analysis .State tests used , report and interpret key statistics , and r findings , including the likelihood you might be committing Type I or II error given your garding the null hypothesis .Refer back to your Assignments and Handouts in thoroughly all elements in your reporting , interpretation , and conclusion .Be sure to add a conclusion in . Conclusion is the most important aspect of items 6-9, worth 95 of the points with each of these items . Do NOT include table: and graphs from SPSS output - Just