Suppose you want to compare type of popcorn popper and brand of popcorn with respect to their yield (in terms of cups of popped corn). You repeat the experiment a specific number of times for each combination of popper and brand. The data and partial output from analysis on Google Sheets is presented below:

Brand Popper Gourmet National Generic popcorn study data and output 4.5 3.5 5.5 4.5 4 6 4 3 Air 6.5 5 4 7 5.5 5 7 5 4.5 ANOVA Source of Variation SS df MS F P-value F crit Sample 4.5 1 4.5 32.4 0.0001004 4.747 Columns 15.75 7.875 56.7 0.0000008 3.885 Interaction 0.0833 2 0.04167 0.3 0.7462154 3.885 Within 1.6667 12 0. 13889 Total 22 17Answer the following questions in the spaces provided: (answers are not case-sensitive but spelling is important; if a question asks for a number you may answer by writing the number in words or just writing the actual number) How many factors are being considered in this study? :] Which factor from this study does Google Sheets' XL-Miner call "Sample" in the ANOVA output? How many levels does it have? Which factor from this study does Google Sheets' XL-Miner call "Columns" in the ANOVA output? :] How many levels does it have? How many replications were conducted in this study? What is the dependent variable being measured? Looking at the ANOVA output answer the following; At alpha = 0.01 was there evidence of interaction between popper type and brand of popcorn? answer yes or no :] At alpha = 0.01 was there evidence that oil-based popper has a different mean yield than air-based? answer yes or no At alpha = 0.01 was there evidence of any inequality among the three brands test with respect to mean yield? answer yes or no Reviewing your decision, were either of the Main Effects significant? answer yes or no :] Would you recommend performing a Tukey-Kramer Procedure on the Brand of popcorn? answer yes or no :] Would you recommend performing a Tukey-Kramer Procedure on the Type of Popper? answer yes or no :]