In: Statistics and Probability
Stew’s Cars operates 3 dealerships in three regions. The General Manager, Lynn, questioned whether the company’s mean profit margin per vehicle sold differed by region.
Steps
1. Specify population parameter of interest and state the null & alt hypotheses
Ha:
Ha:
2. State level of significance & decision rule
3. Select random samples from each population
4. Test hypotheses - Use Excel’s Data Analysis Tool.
Step 5.1 Decision (Reject Ho vs Do not Reject Ho):
Step 5.2: Write up the conclusion and implication (use the complete sentence):
West | Southwest | Northwest | |
3700 | 3300 | 2900 | |
2900 | 2100 | 4300 | |
4100 | 2600 | 5200 | |
4900 | 2100 | 3300 | |
4900 | 3600 | 3600 | |
5300 | 2700 | 3300 | |
2200 | 4500 | 3700 | |
3700 | 2400 | 2400 | |
4800 | 4400 | ||
3000 | 3300 | ||
4400 | |||
3200 |
Using Excel, go to Data, select Data Analysis, choose Anova: Single Factor
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
West | 10 | 39500 | 3950 | 1062778 | ||
Southwest | 8 | 23300 | 2912.5 | 695535.7 | ||
Northwest | 12 | 44000 | 3666.667 | 604242.4 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 5011583 | 2 | 2505792 | 3.209442 | 0.056172 | 3.354131 |
Within Groups | 21080417 | 27 | 780756.2 | |||
Total | 26092000 | 29 |
Population parameter of interest is mean: µ
H0: µ1 = µ2 = µ3: Mean profit margin per vehicle sold in the three regions is the same
Ha: Mean profit margin per vehicle sold in at least one region is different
Level of siginificance = 0.05
p-value = 0.056172
Since p-value is less than 0.05, we reject the null hypothesis and conclude that mean profit margin per vehicle sold in at least one region is different.
Conclusion: Mean profit margin per vehicle sold in the three regions is not the same.