Question.993 - You are (hypothetically) asked to determine how all 50 schools in your school district are succeeding when 20 have opted for online-only education, 15 have opted for half-day hybrid education, and 15 have been determined to open fully for regular classes. Assuming basic educational information is available, such as grades, averages, student demographic information, and district information, how would you do it using ANOVA? Write up a basic plan addressing the questions below. (Please don't get "lost in the weeds." Make your design elegant and to the point. Write the equivalent of one page or less.)How would you set up the Analysis of Variance analysis? What variables will you use to define "success?" What method of analysis would you use? What measures of variation and covariation would you be examining? Please be succinct.
Answer Below:
To xxx up x plan xxx using xxxxx to xxxxxxxxx how xxx schools xx the xxxxxx district xxx succeeding x would xxxxxxxx them xx independent xxx dependent xxxxxxxxx nbsp xxxxxxxx performance xxxxxxxxxx rates xxxxxxxxxxxx test xxxxxx student xxxxxxxxxx or xxx other xxxxxxxx indicators xx educational xxxxxxxxxxx are xxxxxxxxx that xxxx be xxxx to xxxxxxx the xxxxxxx of xxx schools xxxx amp xxxxxx nbsp xxxxxxx nbsp xxx be xxxxxxx as x dependent xxxxxxxx In xxxxxxxx the xxxx of xxxxxxxxx whether xxxxxx only xxxxxxxx hybrid xx regular xxxxxxx can xx defined xx the xxxxxxxxxxx variable xxxx nbsp xxxx I xxxx define xxx Hypothesis xx test xxx differences xx success xxxxx the xxxxx groups xxx instance xxx Hypothesis xxxx can xx defined xx There xx no xxxxxxxxxxx difference xx success xxxxxx among xxxxxxx with xxxxxxxxx types xx education xxx I xxxxx use x one-way xxxxx to xxxxxxx the xxxx This xxxxx allow xx to xxxxxxx the xxxx school xxxxxxx scores xxx the xxxxx education xxxxxxxx methods xxxx amp xxxxxx I xxxxx use xx alpha xxxxx of xx determine xxxxxxxxxxx significance x would xxx up xxx ANOVA xxxxxxxx using xxxxxxxxxxx software xxxx SPSS x would xxxxx the xxxx for xxxx school xxxxxxxxx the xxxx of xxxxxxxxx delivery xxxxxx and xxx measure xx school xxxxxxx I xxxxx then xxx the xxxxx analysis xxx interpret xxx results x would xxxxxxx the xxxxxxxxxxxxxx sum xx squares xxx and xxx within-groups xxx of xxxxxxx SSw xx measure xxx variation xx school xxxxxxx scores xxxxxxx the xxxxx education xxxxxxxx methods xxx within xxxx education xxxxxxxx method xxxxxxxxxxxx Kim x would xxxx examine xxx F-statistic xxxxx measures xxx ratio xxxxxxx groups xxx within-group xxxxxxxx I xxxxx be xxxx to xxxxxx whether xxxxx are xxxxxxxxxxxxx significant xxxxxxxxxxx in xxxxxx performance xxxxxx between xxx three xxxxxxxxx delivery xxxxxxx based xx the xxxxxxxx of xxx ANOVA xxxxxxxx nbsp xxxx nbsp xxxxxxxxxxxxxx S x amp xxxxxx R x Using x repeated xxxxxxxx ANOVA xx analyze xxx data xxxx a xxxxxxxxxxxxxxxx design x potentially xxxxxxxxx task xxxx Psychological xxxxxxxx nbsp xxx H x Analysis xx variance xxxxx comparing xxxxx of xxxx than xxx groups xxxx Restorative xxxxxxxxx amp xxxxxxxxxxx nbsp xxxxxMore Articles From Statistics
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