In: Statistics and Probability
A consumer advocate examines whether the longevity of car
batteries (measured in years) is affected by the brand name (factor
A) and whether or not the car is kept in a garage (factor
B). Interaction is suspected. The results are shown in the
accompanying table.
Garage | Brand | Years |
Yes | A | 7 |
Yes | A | 8 |
Yes | A | 8 |
No | A | 7 |
No | A | 6 |
No | A | 6 |
Yes | B | 7 |
Yes | B | 7 |
Yes | B | 6 |
No | B | 5 |
No | B | 4 |
No | B | 4 |
Yes | C | 8 |
Yes | C | 8 |
Yes | C | 8 |
No | C | 6 |
No | C | 6 |
No | C | 6 |
|
a-2. At the 5% significance level, Is there
interaction between the brand name and whether a car is
garaged?
Yes, since the p-value for interaction is less than the significance level.
Yes, since the p-value for interaction is greater than the significance level.
No, since the p-value for interaction is greater than the significance level.
No, since the p-value for interaction is less than the significance level.
To test whether there is any interaction between the brand name and whether a car is garaged,
i.e. H0 : There is no interaction between the brand name and whether a car is garaged
against
H1 : There is interaction between the brand name and whether a car is garaged
The value of the test statistic F = 1.75
and p-value = 0.215
Since p-value > 0.05, so we fail to reject H0 and we can conclude that there is no significant interaction between the brand name and whether a car is garaged.
ans-> No, since the p-value for interaction is greater than the significance level.