You may need to use the appropriate technology to
answer this question.
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 considered for a
mobile device to make it more user friendly? Among other things,
navigation menu placement and amount of text entry required are
important on a mobile device. Suppose the following data provide
the 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
Low
High
Navigation
Menu
Position
Right
8
10
14
8
Middle
24
36
12
22
Left
8
20
18
12
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
???? = 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.
Because the p-value ? ???? = 0.05,
factor A is not significant.Because the p-value
> ???? = 0.05, factor A is not
significant. Because
the p-value ? ???? = 0.05, factor A is
significant.Because the p-value > ???? =
0.05, factor A is 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.
Because the p-value ? ???? = 0.05,
factor B is not significant.Because the p-value
> ???? = 0.05, factor B is not
significant. Because
the p-value > ???? = 0.05, factor B is
significant.Because the p-value ? ???? =
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 ? ???? = 0.05, the
interaction between factors A and B is significant.Because
the p-value > ???? = 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.Because
the p-value ? ???? = 0.05, the
interaction between factors A and B is not significant.