Based on a study, the average elapsed time between when a user navigates to a website on a mobile device until its main content is available was 14.6 seconds. This is more than a 20% increase from the previous year. Responsiveness is certainly an important feature of any website and is perhaps even more important on a mobile device. What other web design factors need to be constime (in seconds) it took randomly selected students (two for each factor combination) to perform a prespecified task with the different combinations of navigation menu placement and amount of text entry required.NavigationMenuPositionRightMiddleLeftAmount of Text Entry RequiredLow81020161218High14836181616Use the ANOVA procedure for factorial designs to test for any significant effects resulting from navigation menu position and amount of text entry required. Use a = 0.05. (Let factor A be navigation menu position, and let factor B be amount of text entry required.)Find the value of the test statistic for factor A. (Round your answer to two decimal places.)Find the p-value for factor A. (Round your answer to three decimal places.)p-value =State your conclusion about factor A.O Because the p-value > a = 0.05, factor A is significant.O Because the p-value ≤ α = 0.05, factor A is significant.O Because the p-value > a = 0.05, factor A is not significant.O Because the p-value ≤ a = 0.05, factor A is not significant.Find the value of the test statistic for factor B. (Round your answer to two decimal places.)Find the p-value for factor B. (Round your answer to three decimal places.)p-value =State your conclusion about factor B.O Because the p-value > a = 0.05, factor B is significant.O Because the p-value ≤ α =actor B is not significant.O Because the p-value > a = 0.05, factor B is not significant.O Because the p-value ≤ α = 0.05, factor B is significant.Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.)Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.)p-value=State your conclusion about the interaction between factors A and B.O Because the p-value ≤ α = 0.05, the interaction between factors A and B is significant.O Because the p-value ≤ a = 0.05, the interaction between factors A and B is not significant.O Because the p-value > a = 0.05, the interaction between factors A and B is not significant.O Because the p-value > a = 0.05, the interaction between factors A and B is significant.

Two way ANOVA:A quicker, more efficient method would be to use an analysis of variance, or ANOVA.…

Based on a study, the average elapsed time between when a user navigates to a website on a mobile device until its main content is available was 14.6 seconds. This is more than a 20% increase from the previous year. Responsiveness is certainly an important feature of any website and is perhaps even more important on a mobile device. What other web design factors need t time (in seconds) it took randomly selected students (two for each factor combination) to perform a prespecified task with the different combinations of navigation menu placement and amount of text entry required. Amount of Text Entry Required Navigation Menu Position Right Middle Left Low 8 10 20 State your conclusion about factor B. 16 12 18 High 14 8 36 18 16 16 Use the ANOVA procedure for factorial designs to test for any significant effects resulting from navigation menu position and amount of text entry required. Use a 0.05. (Let factor Abe navigation menu position, and let factor B be amount of text entry required.) Find the value of the test statistic for factor A. (Round your answer to two decimal places.) Find the p-value for factor A. (Round your answer to three decimal places.) p-value- State your conclusion about factor A Because the p-value> a= 0.05, factor A is significant. Because the p-value sa 0.05, factor A is significant. O Because the p-value> a= 0.05, factor A is not significant. Because the p-value s a 0.05, factor A is not significant. = Find the value of the test statistic for factor B. (Round your answer to two decimal places.) - Find the p-value for factor B. (Round your answer to three decimal places.) p-value [ Because the p-value> a= 0.05, factor B is significant Because the p-value sa = 0.05, factor B is not significant. Because the p-value> a= 0.05, factor B is not significant. Because the p-values a 0.05, factor B is significant. Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.) Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.) p-value= State your conclusion about the interaction between factors A and B. Because the p-value sa O Because the p-values a Because the p-value> a= 0.05, the interaction between factors A and B is not significant Because the p-value > 0.05, the interaction between factors A and B is significant. 0.05, the interaction between factors A and B is significant 0.05, the interaction between factors A and B is not significant.