In: Statistics and Probability
The results of a survey comparing the costs of staying one night in a full-service hotel (including food, beverages, and telephone calls, but not taxes or gratuities) for several major cities are given in the following table. Do the data suggest that there is a significant difference among the average costs of one night in a full-service hotel for the five major cities? Maximum Hotel Costs per Night ($) New York Los Angeles Atlanta Houston Phoenix 289 196 184 292 262 345 214 242 296 262 348 216 333 337 305 277 192 298 257 258 266 262 195 217 199 Step 1 of 2 : Find the value of the test statistic to test for a difference between cities. Round your answer to two decimal places, if necessary.
New York | Los Angeles | Atlanta | Houston | Phoenix |
289 | 196 | 184 | 292 | 262 |
345 | 214 | 242 | 296 | 262 |
348 | 216 | 333 | 337 | 305 |
277 | 192 | 298 | 257 | 258 |
266 | 262 | 195 | 217 | 199 |
Anova: Single Factor
SUMMARY
Groups | Count | Sum | Average | Variance |
New York | 5 | 1525 | 305 | 1502.5 |
Los Angeles | 5 | 1080 | 216 | 774 |
Atlanta | 5 | 1252 | 250.4 | 4159.3 |
Houston | 5 | 1399 | 279.8 | 2036.7 |
Phoenix | 5 | 1286 | 257.2 | 1429.7 |
ANOVA Table
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 22194.64 | 4 | 5548.66 | 2.801731 | 0.053668 | 2.866081 |
Within Groups | 39608.8 | 20 | 1980.44 | |||
Total | 61803.44 | 24 |
test statistic F = 2.801
for a given significance level of 0.05, p-value is more than 0.05, we fail to reject null hypothesis at alpha = 0.05, and there is no significant evidence to conclude that the average costs of one night in a full-service hotel for the five major cities is different.