$$\text { TABLE 10-10 }$$ The following EXCEL output contains the results of a test to determine if the proportions of satisfied guests at two resorts are the same or different.

-Referring to Table 10-10, allowing for 0.75% probability of committing a Type I error, what are the decision and conclusion on testing whether there is any difference in the proportions of satisfied guests in the two resorts?
A) Reject the null hypothesis; there is enough evidence to conclude that there is significant difference in the proportions of satisfied guests at the two resorts.
B) Do not reject the null hypothesis; there is enough evidence to conclude that there is significant difference in the proportions of satisfied guests at the two resorts.
C) Reject the null hypothesis; there is not enough evidence to conclude that there is significant difference in the proportions of satisfied guests at the two resorts.
D) Do not reject the null hypothesis; there is not enough evidence to conclude that there is significant difference in the proportions of satisfied guests at the two resorts.

Question

$$\text { TABLE 10-10 }$$ The following EXCEL output contains the results of a test to determine if the proportions of satisfied guests at two resorts are the same or different.
 
-Referring to Table 10-10, allowing for 0.75% probability of committing a Type I error, what are the decision and conclusion on testing whether there is any difference in the proportions of satisfied guests in the two resorts?
A) Reject the null hypothesis; there is enough evidence to conclude that there is significant difference in the proportions of satisfied guests at the two resorts. 
B) Do not reject the null hypothesis; there is enough evidence to conclude that there is significant difference in the proportions of satisfied guests at the two resorts. 
C) Reject the null hypothesis; there is not enough evidence to conclude that there is significant difference in the proportions of satisfied guests at the two resorts. 
D) Do not reject the null hypothesis; there is not enough evidence to conclude that there is significant difference in the proportions of satisfied guests at the two resorts.

Quizplus · Accepted Answer

Since the probability of committing a Type I error (alpha) is set at 0.75%, we compare the p-value of the test to this alpha level. If the p-value is less than 0.0075, we reject the null hypothesis, indicating there is enough evidence to conclude a significant difference in the proportions of satisfied guests at the two resorts.

TABLE 10-10 \text { TABLE 10-10 } TABLE 10-10 The Following EXCEL Output Contains the Results of a Test

$\text { TABLE 10-10 }$ The Following EXCEL Output Contains the Results of a Test