In: Statistics and Probability
Question 2
An operations manager of a large firm is studying the monthly sales (in $’000) of three subsidiary companies over a six-month period as given in the table below.
| 
 Company A  | 
 Company B  | 
 Company C  | 
| 
 152  | 
 148  | 
 150  | 
| 
 135  | 
 158  | 
 148  | 
| 
 130  | 
 136  | 
 126  | 
| 
 142  | 
 138  | 
 128  | 
| 
 125  | 
 140  | 
 140  | 
| 
 128  | 
 127  | 
 135  | 
At the 0.01 significance level, can we conclude that there is a difference in the means of monthly sales of the three subsidiary companies over a six-month period?
b) Calculate the level of significance, critical value and rejection region
| A. | 
 dfc = 5  | 
|
| B. | 
 dfc = 2  | 
|
| C. | 
 dfc = 2  | 
|
| D. | 
 dfc = 2  | 
Ho :  
  
Ha : Atleast two population means differs from
each other.
Level of Significance (l.o.s.)
:  
= 0.01
Decision Criteria : Reject Ho at 1% l.o.s. if F
> F crit,
where F crit = F (
,
k-1, n-k) = F (0.01, 2,15) = 6.359
Calculation : To determine the results, we make use of Excel & the steps are :
Step 1 : Enter the data in excel.
Step 2 : Select "Anova : Single Factor" function
fro the data analysis package available under the data tab of
excel.
Step 3 : Enter the range of the data in the first
cell & change the l.o.s. from 0.05 to 0.01
Step 4 : Click ok & thus, following results
are obtained :
| Anova: Single Factor | ||||||
| SUMMARY | ||||||
| Groups | Count | Sum | Average | Variance | ||
| Company A | 6 | 812 | 135.3333333 | 102.2666667 | ||
| Company B | 6 | 847 | 141.1666667 | 113.7666667 | ||
| Company C | 6 | 827 | 137.8333333 | 100.1666667 | ||
| ANOVA | ||||||
| Source of Variation | SS | df | MS | F | P-value | F crit | 
| Between Groups | 102.7777778 | 2 | 51.38888889 | 0.487560616 | 0.62352407 | 6.359 | 
| Within Groups | 1581 | 15 | 105.4 | |||
| Total | 1683.777778 | 17 | 
i.e. option C.
Conclusion : Since F < F crit, we do not reject Ho at 1% l.o.s. & thus, conclude that there is no significant difference in the means of monthly sales of the three subsidiary companies over a six-month period.
Hope this answers your query!