TABLE 10-13
The amount of time required to reach a customer service representative has a huge impact on customer satisfaction. Below is the Microsoft Excel output from a study to see whether there is evidence of a difference in the mean amounts of time required to reach a customer service representative between two hotels. Assume that the population variances in the amount of time for the two hotels are not equal.

-Referring to Table 10-13, which of the following represents the relevant hypotheses to test whether there is evidence of a difference in the mean amounts of time required to reach a customer service representative between two hotels?

Question

TABLE 10-13
The amount of time required to reach a customer service representative has a huge impact on customer satisfaction. Below is the Microsoft Excel output from a study to see whether there is evidence of a difference in the mean amounts of time required to reach a customer service representative between two hotels. Assume that the population variances in the amount of time for the two hotels are not equal.
 
-Referring to Table 10-13, which of the following represents the relevant hypotheses to test whether there is evidence of a difference in the mean amounts of time required to reach a customer service representative between two hotels?
A) H₀: π₁ - π₂ ≥ 0 versus H₁: π₁ - π₂ < 0 
B) H₀: π₁ - π₂ ≤ 0 versus H₁: π₁ - π₂ > 0 
C) H₀: π₁ - π₂ = 0 versus H₁: π₁ - π₂ ≠ 0 
D) H₀: π₁ - π₂ ≠ 0 versus H₁: πI - π₂ = 0

Quizplus · Accepted Answer

The relevant hypotheses to test whether there is evidence of a difference in the mean amounts of time required to reach a customer service representative between two hotels are H₀: π₁ - π₂ = 0 versus H₁: π₁ - π₂ ≠ 0. This is a two-tailed hypothesis test because we are testing for a difference in means (not a specific direction) and assuming that the population variances are not equal.

TABLE 10-13 The Amount of Time Required to Reach a Customer Service