Research Scenario 1: A research study was conducted to examine the effects of instructor personality on student test scores. Statistics students were randomly assigned to one of three groups: a hostile instructor, an empathetic instructor, and an asynchronous online class with no instructor presence. The students in each condition took their first exam and the scores from 5 students in each group were recorded below. Scores are from 0-100, with 100 representing 100%. Compute the appropriate test.ov za nolaulonoo Troy stink Call dysAt to alluest bus osie Click here for the data set: # Instructor Type ANOVA How do you know this is a "regular" ANOVA and not a repeated measures ANOVA? Hypothesis testing: Step 1: State hypothesis and set alpha equal to .05. Ho: HI: Note: Step 2 & 3 are done using software like StatCrunch. Step 2: Critical Region Step 3: Test Statistic Copy and paste results here. You'll want to copy and paste the source of variance table. Step 4: Make a decision RETAIN or REJECT the null What would you do next? If the decision is to reject the null, you'll need to do a POST HOC (69351 test to determine which mean differences are significant. viomom no aguib viomom to 2109fts ordi enimsxe of beloubroo anw vbula dozesast A Use Tukey's HSD test for your post hoc test. NOTE: this can be done using StatCrunch too. diw .(0) D guib bus .(8) & guib Copy and paste results here: europa morigill momzesees viomom's belsigmoo atmsquoinng ari . momisen rose 1offA li animotob of alevlans as Joubao woled beingesiq sis sisb edT . vomom lo elevel Torigid . viomom no egimb vromem 10 abaid souli sri gnorms econsistlib insoflingie dis cord Which means were different? If you reject the null, at least one mean pair must be different. Fivege Coonndo vd sozto expelis ordl snirasks of beloubadd eew vbute domget A : I ofismso? dozzgeoff of bengizes vimobrit snow elushula gabeuste .aszoos fool mobute no whilenoeing toJouTien Janfinish doo) nobibuon does ni amnabine adTroopsasiq Totourleni on w eeslo smilno on snow quing dans ni alnebula & mond estone oth bas maxs Write your conclusion as you would for a research article, including F obtained, p value, effect size and results of Tukey's HSD. AVONA ogyT holbulanl Joe stab off) 101 stol doil asianam botesqui a lon bug AVOVIA "valugot" s ei zidi word woy ob woll SAVONA :guitest eleorblog.H 20. of isups sials joa bas eizedroged susie : [ quid OH H donmist2 slil onewfloe gniew snob 918 & 2, S q912 :stok noigs Ison :S qold offeidel lesT :& qor2 oldsi sonshav to soroe ed stesq bus vqoo of jnew I'veY . snod atluest stesq bas vqo) noieloob s saleM :P qs12 10 KELVIN Research Scenario 2: of been ll'vrov llun ed losjon of at notetoob or 1I Sixen ob nov bluow tedW gie one zoomersflib nom doidw simmsisb of lest A research study was conducted to examine the effects of memory drugs on memory. Patients with traumatic brain injury were given three different kinds of memory drugs: drug A (A), all drug B (B), and drug C (c). pisd abluest stenq bris vqo After each treatment, the participants completed a memory assessment. Higher scores = higher levels of memory. The data are presented below. Conduct an analysis to determine if there are significant differences among the three kinds of memory drugs on memory. Specifically, are any of the mean differences in the data greater than what we would expect to ivy see by chance?Click here for the data set: https://docs.google.com/spreadsheets/d/1- G9eM P7M55KCIn6KLW7hODmrwae0kxNpTzzlTW 9g0JE/edit?usp=sharing 1. Why is this a repeated measures ANOVA? Hypothesis testing: Step 1: State hypothesis and set alpha equal to .05. Ho: H1: Note: Step 2 & 3 are done using software like StatCrunch. Step 2: Critical Region Step 3: Test Statistic Copy and paste results here. You'll want to copy and paste the source of variance table. You'll want to c Step 4: Make a decision RETAIN or REJECT the null What would you do next? If the decision is to reject the null, you'll need to do a POST HOC test to determine which mean differences are significant. Use Tukey's HSD test for your post hoc test. NOTE: this can be done using StatCrunch too. 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