ANOVA TableFill in the blanks of the One Way ANOVA Table below with the appropriate values and answer the questions;assume alpha = 05.Sum ofSourceSquaresdfMean SquareFBetween GroupsWithin GroupsTotal11624.5273645.24120Critical F value =Reject or Fail to Reject Ho ?.Hypothesis Testing1. Harris (2020) tested levels of well-being in subjects with chronic anxiety undergoing brief therapy with mildpsychedelics three months before and again three months after the administration of a single session of therapy. The well-being scores for the 16 subjects are listed in the "Before" and "After" columns in the Table below:Well-Being ScoresSubjectBeforeAfterA125133B9612611511510811993124F98109G9572120104107113J126118K102121L116115M8094N10587123121P110118Use the data provided in the table to test whether well-being changed significantly from immediately before to 3 monthsafter the session. Set alpha at .05.a) Write a null and alternative hypothesisb) Determine the critical value and draw the comparison distribution with the rejection region(s) indicatedc) Compute the relevant statisticd) Make a statistical decision (regarding the null hypothesis)e) Write a conclusion based on the specific research question t =n(E D)- (E D)n -1n = number of pairs of scores (for example, if 8 people are measured at tl and t2, df = 8-1 = 7)D= the difference between each pair of scoresED = the sum of the differences(ED") = the sum of the squares of the differences(ED)= the sum of the differences squaredt score: Independent Samples t-test (degrees of freedom = (ni – 1) + (n2 – 1))Z. - Z.+Vn, -1'n, - 1X - mean of first group (sample)X:- mean of second group (sample)s21 = sample variance of first groups?, = sample variance of second groupn1 =number of subjects (or observations) in the first groupn, = number of subjects in second group2=rBe careful about computing the denominator; pay attention to whether you are working with sample variances or standarddeviations to make sure your computations are correct.One Way ANOVA (see ANOVA table for degrees of freedom)Between Groups Sum of Squares: Subtract the grand mean from each group mean, square the deviation,multiply by n in each group and add the values together.SSu = En (X,- Xn = the number of subjects or observations in a groupX, - the mean for any group (1 through n) of subjectsX = the overall, or grand, mean for all subjects or observationsWithin Groups Sum of Squares: Subtract each group's mean from the individual scores and add them all up.SSw - EE (X-X.jX = any single score within any particular groupX,- the mean of any particular groupnG = number of groupsN= total # of subjects/observationsdfMSFTreatment(Between= B)SS.df, =MS, =ss, / df,MS=SSw/ dfwF =MS, /MSwn-1dfw =N - ngError (Within W) SSTotalSStotal =ss, + SSwdfrotal =3DN -1 =df,+ dfyFrequently Used Z Critical Scoresa levelOne-tailed (left)Two-tailedOne-tailed (right)a 0.052-1.6421.6421.96a= 0.012=-2.33z= 2.332= 2.57a= 0.001 2=-3.08z3.0823.32

Note: According to our guidelines we can answer only first question. Kindly repost the remaining questions and mention the questions in the post for which you need answer.The One Way ANOVA Table is filled with appropriate values as shown below: Critical F value: Using Excel formula “=F.INV.RT(0.05,4,116)” (or from F distribution table), the critical F value is obtained as 2.45. Decision: Since F test statistic (=8.1554) is greater than the F critical value, the null hypothesis (H0) is rejected.