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You are a market researcher for a cell phone case company, and want to test if there is any difference in the value potential consumers place on the different designs on average. You are given 5 different prototype models of cell phone cases, and are able to sample 7 people per design. Your research yields a SSTotal of 38741, along with a sum of square error (SSE) of 23360. Using this information, conduct a one-way ANOVA test to determine if there is any difference between the values consumers place on the different cell phone case designs, using a significance level of 5%. What is the correct interpretation of your analysis? 0 At least one of the cell phone cases is significantly more valuable to consumers than the other cell phone cases, since the F-statistic found in the analysis is larger than the critical value at the given confidence level. 0 There is significant differences between at least one of the designs of the cell phone cases (from the perspective of consumers), since the F-statistic found in the analysis is smaller than the critical value at the given confidence level. 0 We cannot say that there is a significant differences between the designs of the cell phone cases (from the perspective of consumers), since the F-statistic found in the analysis is smaller than the critical value at the given confidence level. 0 At least one of the cell phone cases is significantly less valuable to consumers than the other cell phone cases, since the F-statistic found in the analysis is larger than the critical value at the given confidence level. 0 At least one of the cell phone cases is significantly more or less valuable to consumers than the other cell phone cases, since the F-statistic found in the analysis is larger than the critical value at the given confidence level