Solved Case Study: American Oil Company found on pages

American Oil Company found on pages

Question 1

            First issue in the case is that company is worried that whether the suppliers will be able to produce parts with its desired mean and standard deviation or not? Second issue is that how many parts should be bought by the company for enough production of two exploration devices for oil. These are the two main issues.

Question 2

            Chi Square test can be used for this purpose. It can be used to understand that whether the claim of the suppliers is true or not?

Question 3

Null hypothesis is that given data corresponds to normal distribution

Alternate hypothesis: Given data corresponds to the normal distribution.

Question 4

Mean: 0.16

S.D= 0.02

Sample size: =330

Diameter Frequency X Normal distribution
< 0.14 5 0.14 0.158655254
0.14 and under 0.15 70 0.15 0.149882285
0.15 and under 0.16 90 0.16 0.191462461
0.16 and under 0.17 105 0.17 0.191462461
0.17 and under 0.18 50 0.18 0.149882285
 0.18 > 10 0.841344746
Total 330 5 1.682689492

 

Question 5

           

Mean 0.16
S.D 0.02
Diameter 0 X      Normal distribution          E X2=(O-E)^2/E
< 0.14 5 0.14 0.158655254 52 42.48077
0.14 and under 0.15 70 0.15 0.149882285 49 9
0.15 and under 0.16 90 0.16 0.191462461 63 11.57143
0.16 and under 0.17 105 0.17 0.191462461 63 28
0.17 and under 0.18 50 0.18 0.149882285 49 0.020408
 0.18 > 10 0.841344746 52 33.92308
Total 330 5 124.9957

 

T statistics= 124

Question 6

            Various tests can be used to find out the statistical values. It has obtained that

α = 0.05

Critical path = χ² (0.05, 6) = 11.07

Degree of freedom= 5

 

 

 

 

 

Question 7

            Null hypothesis would be rejected based on the evidence that test statistics are greater than the critical value. The evidence has provided below:

T statistics= 124

Critical path= 11.07

Difference= 113= risky

Based on the evidences, null hypothesis should be rejected.

Question 8

Two problems have discussed in this case. First is that whether the supplier would be able to provide the components having expected mean and S.D of the company or not and second is the number of components that should be purchased. After this case analysis, S.D of 0.02 with mean of 0.16 has tested and concluded that supplier would be able to produce it.