We want to visually compare the distributions of the blood types for males and females, which of the following is suitable? (data format see below)Based on the dendrogram, what is the number of clusters that works better?Based on the box plot, which of the following statement is true?We want to remove outliers before performing one-sample t-test, which of the following are valid procedures?To check if a linear correlation exists between two scale variables, we can run the Pearson correlation directly. We do not have to draw the scatter chart if we do not need visualization in the report. True Or FalseThe dataset has 20,000 observations, Hence, we use the following to test normalityWhich of the following statement about Spearman’s Rank Order Correlation Test is not correct?We can use Q-Q plot to compare our data distribution against a Poisson distribution. True Or False When measuring the similarity between clusters, which one should be chosen if we want to measure the shortest distance between clusters11- When clustering observations with only binary variables, we can calculate the similarity based on which of the follows to reduce the effect of the absence of feature.17- Download the file:ex2.sav.18- Download the file: ex3.sav .19- Download the file: ex1.sav GenderABOMAMOFBFOMAA.Cross-tabB.HistogramC.Box PlotD.Line Chart2-How many samples should we collect for the following scenario? We want to know the proportion of students who were sick at least one time during the semester with the level of precision (5%) and 95 percent confidence level (i.e., the corresponding z=1.96) assuming the estimated proportion is 0.5. Round up your answer to the integer. 3456a)The central line does not exist for the female group because there is no sufficient data to determine itb)The test distribution of the male is positively skewedc)The mean test score for the male is 2d.The IQR for the female is 5 a.Box plot, z-score, and scatter chartb.Box plot and z-scorec.Standardized variable and scatter plotd.Box plota.Kolmogorov-Smirnov Testb.Shapiro-Wilk Testc.Q-Q Plotd.All of the above are suitablea.If Pearson correlation shows a positive correlation, Spearman’s test will show a positive correlation toob.It can also be applied to the ordinal categorical variable but not the nominal variablec.It can be used when the two variables to be tested are not normally distributed. However, they still need to have a linear relationshipd.All of the above is incorrecta.Single linkageb.Complete linkagec.Group Average linkaged.Centroid linkagea.Squared Euclidean Distanceb.Euclidean Distancec.Jaccard's Coefficientd.Matching Coefficient12-When we run the one-sample t-test to check if the population mean of income is equal to 50000. Suppose that the 95% C.I. of difference provided on the output table is [500, 900], which of the follows is likely to be the correct p-value?a.0.035b.0.065 c.0.535 d.All are possible 13-We want to find out if the average commute times are different in the residents' zip codes (43615, 48103, and 48105), which of the following is more suitable given that the commute time is normally distributed within each zip codea.Paired-samples t-testb.One-way ANOVAc.Two-way ANOVAd.Independent-sample t-test14-The output for the paired t-test is provided below. Our H1is that X7 and X4 are different. Based on the output, which of the following is the correct conclusion a.There is no significant evidence to show that X7 is different from X4 (p=0.076)b.We conclude that X7 is significantly different from X4 (p=0.038)c.Neither is correct15-Based on the result below, we should report the t-test results froma.The first rowb.The second rowc.Either is ok16- Download the file: ex1.sav .Run the Kolmogorov-Smirnov Normality Test on X1 for each gender, what is the significant level for males?a.0.097b.0.179c.0.035d.0.024Run a one-sample t-test to see if the mean for X3 is different from 140. Report the t statistic.a.0.202b.0.830c.0.513d.0.246 Aggregate the data by Gender. What is the standard deviation of X2 for males? (enter two decimals point e.g., 35.24) Report the Spearman's correlation between X1 and X3 (report the exact value. Do not round.)20-We plan to run Mann-Whitney Test to compare the savings for males and females. Check the assumptions for the attached data. Based on your finding, the Mann-Whitney Test will compare:Data:PP.sava.meanb.modec.varianced.median21-We want to run a nonparametric test to compare the saving distributions for residents in Perrysburg and Ottawa Hills. Select the appropriate test taught in class and report the p-value.ind_t.sav22-Calculate the mean for X1 (format:0.00) after removing or filtering out all observations that are two times away from the standard deviation.mean.sav23-Run the K-mean cluster to divide observations into 2 groups based on age and height. What is the average age for the group with C in it? (format: x.xx)cluster.sav24-Answer the following question based on your K-mean cluster analysis in the previous question. Which of the following is true? (choose any method you like in SPSS)a.The cluster that includes C is considered older and taller.b.The cluster that includes C is considered older and shorter.c.The cluster that includes C is considered younger and taller.d.The cluster that includes C is considered younger and shorter.Pearson correlation can also help us determine how fast one variable can be affected by the other one.True or

9-1 Final Project: Submit Change Plan At the end of this module, you will be submitting your final project, a change plan for the Alaska Airlines case study. Throughout the course, you have had multiple opportunities to work on the elements of this proposal and fine-tune your thinking for the change plan.Your finalized proposal should incorporate feedback you have received from your instructor as well as your peers.