A national car rental company recently conducted a study in which cars with automatic and standard transmissions (factor A – Sam
ple) were rented to male and female customers (factor B – Columns). Three customers in each category were randomly selected and the miles driven per day was recorded as follows: Part A: Clearly write all of the relevant hypotheses for this test design. Part B: If you were to use an alpha level of 0.05 to test whether there is significant interaction between factors A and B. What should be the critical F value to define the rejection region for this test?
A national car rental company recently conducted a study recently in which cars with automatic and standard transmissions (factor B) were rented to male and female customers (factor A). Three customers in each category were randomly selected and the miles driven per day was recorded as follows:
Based on the design of this study, how many degrees of freedom will be associated with the mean square for factor A?
I can't really show a graph but I will try to explain
The water is leaking at a constant rate, meaning its not regaining it water (its only leaking). So if u were to graph this it would be a linear decrease
( That was a Terrible explanation but the answer is right lol)
