Austin |
Houston |
|
Sample Size |
15 |
12 |
Sample Mean |
188.2000 |
155.3333 |
Sample Standard Deviation |
41.4319 |
28.4328 |
df |
25 |
|
Pooled Sample Standard Deviation |
36.2905 |
|
Confidence Interval (in terms of Austin - Houston) |
||
Confidence Coefficient |
0.90 |
|
Lower Limit |
8.8583 |
|
Upper Limit |
56.8750 |
|
Hypothesis Test (in terms of Austin - Houston) |
||
Hypothesized Value |
5 |
|
Test Statistic |
||
p-value (Lower Tail) |
||
p-value (Upper Tail) |
0.0292 |
|
p-value (Two Tail) |
Expedia is interested in looking at the difference in the average price of a hotel room in Austin versus one in Houston. Fifteen hotels in Austin and 12 hotels in Houston were randomly selected and the nightly room rates recorded. Based on Expedia’s results, can they say there is more than a $5 difference in the average price of a hotel room between these two cities at α=.025? State the hypothesis in terms of Austin – Houston. Use the excel output above to answer the following question.
What is the decision?
it is upper tailed hypothesis because we want to test whether the difference is more than $5 or not.
Using the excel data output table, we can get the p value = 0.0292
it is clear that the p value is greater than the significance level of 0.025
therefore, failed to reject the null hypothesis
we can say that there is insufficient evidence to conclude that the difference is more than $5 in the average price of a hotel room between these two cities
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