An Industrial/Organizational psychologist conducted a study on the likelihood of a boss to be willing to meet to discuss a potential raise based on the mode of initial request, and if this varies based on the gender of the boss. She had 20 bosses (10 male; 10 female) complete her study. They were each given three scenarios - involving contact face-to-face, via email, or via indirect methods and were asked to provide a "percent likelihood you'd be willing to schedule a meeting to discuss a potential raise with the person in the given scenario" (so values can range from 0 - 100%). Percent likelihoods for each method by gender of boss is presented in the table below. Remember that between subjects variables such as "Gender" will be represented using a single column in SPSS. Within subjects variables such as method of communication would be represented in multiple columns - one per level. Hint: for this data entry, you will end up for a total of four columns in SPSS.Conduct a two-way mixed design ANOVA to determine whether perceived likelihood of receiving a raise in the next 6 months is affected by boss gender and/or primary mode of communication. Remember if the test of sphericity shows a violation, you'll use the Greenhouse-Geisser modification.

Face Email Indirect

100 90 10

90 100 75

Male 95 80 40

Boss 100 85 30

99 85 50

80 80 60

85 75 70

90 90 70

95 65 50

100 90 80

Face Email Indirect

90 50 10

Female 85 75 25

Boss 80 60 40

85 65 10

100 75 30

100 80 25

80 75 30

75 65 45

65 60 40

50 40 30

Report the relevant SPSS Output.

Which is the most appropriate graph for this data given the results. (I know is two graphs).

Write the results in an AP Style. Include the null hypothesis. Thank you!