BTM8106-8-3 Jackson, Even-Numbered Chapter Exercises

Exercises covering statistical and research methods in business.

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BTM8106-8-31BTM8106-8-3JACKSON, EVEN-NUMBERED CHAPTER EXERCISES, PP. 308-310.2. What is the difference between a randomized ANOVA and a repeated measuresANOVA?What does the term one-way mean with respect to an ANOVA?A one-way randomized ANOVA is an inferential statistical test used to compare themeans of three or more groups using a between-subjects design and one independent variable(Jackson, 2012). A one-way repeated measures ANOVA is an inferential statistical test thatcompares the means of three or more groups using a correlated groups design and oneindependent variable (Jackson, 2012):a test to detect any overall differences between relatedmeans.The participants are either the same individuals tested on three or more occasions on thesame dependent variable or the same individuals tested under three or more different conditionson the same dependent variable (Laerd,2015).However, randomized ANOVA’s indicatethatsubjectsarerandomly assigned to conditions (Jackson, 2012).The one-way ANOVA compares the means between the groups and determines whetherany of those means are significantly different from each other. Specifically, it tests the nullhypothesis. The one-way ANOVA cannot tell which specific groups were significantly differentfrom each other, only that at least two groups were (Laerd, 2015).4.If a researcher decides to use multiple comparisons in a study with three conditions, what isthe probability of a Type I error across these comparisons? Use the Bonferroni adjustment todetermine the suggested alpha level.The formula 1-(1-.05)/ 3isused to determinetheprobability ofaType I error whenmaking multiple comparisons:there is a 14% chance of a Type I error. Using the Bonferroniadjustment, the suggested alpha levelis.05/ 3.The suggested alpha level is .017.6.When should post hoc comparisons be performed?Post hoc tests should be performed when there are three or more groups being compared,and theF-ratio is significant (Jackson, 2012).Post-hoc testsare usedto control the error rate

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