In: Statistics and Probability
a. Re-run the data using ANOVA on Excel. You may choose which ANOVA is most appropriate.
b. Show the Excel ANOVA output and describe what the output means.
| 
 Month  | 
 Chevy Cruze  | 
 Ford Focus  | 
 Hyundai Elantra  | 
 Honda Civic  | 
 Toyota Corolla  | 
 VW Jetta  | 
| 
 January  | 
 21,711  | 
 21,303  | 
 21,006  | 
 19,341  | 
 20,985  | 
 19,671  | 
| 
 February  | 
 18,274  | 
 19,385  | 
 19,992  | 
 20,872  | 
 19,785  | 
 19,105  | 
| 
 March  | 
 17,934  | 
 16,557  | 
 15,713  | 
 17,181  | 
 16,889  | 
 16,006  | 
| 
 April  | 
 19,387  | 
 17,420  | 
 15,054  | 
 14,500  | 
 14,093  | 
 14,083  | 
| 
 May  | 
 17,097  | 
 16,147  | 
 15,023  | 
 15,800  | 
 15,727  | 
 16,875  | 
| 
 June  | 
 16,244  | 
 16,173  | 
 14,295  | 
 15,058  | 
 15,236  | 
 16,893  | 
Run Anova single factor analysis in excel followed by below procedures:

Result:

P-value is 0.85 , which is greater than the significance level 0.05
If the p-value is greater than the significance level, you do not have enough evidence to reject the null hypothesis that the population means are all equal.