Pepsi uses six-sigma technique to evaluate whether its 12 oz Gatorade has consis
ID: 344125 • Letter: P
Question
Pepsi uses six-sigma technique to evaluate whether its 12 oz Gatorade has consistent weight. Pepsi took a sampling of 1000 12 oz Gatorade and found out that the average weight was 11.58 oz with a standard deviation of 0.3 oz. Pepsi considers a tolerance of ± 5% from 12 oz acceptable.
1What is the percentage of 12 oz Gatorade that meets the specification?
99.97%
72.54%
93.7%
82.6%
QUESTION 2
Q1-2 What is the percentages of 12 oz Gatorade that are considered “overweight”?
0.03%
94.52%
5.48%
0.82%
QUESTION 3
Q1-3 What is the percentages of 12 oz Gatorade that are considered “underweight”?
0.82%
27.43%
5.48%
94.52%
QUESTION 4
Q1-4 If Pepsi improves its production process, and samples another 1000 bottles and finds a average weight of 12 oz with a standard deviation of 0.2 oz. What is the % of 12 oz Gatorade that meets the specification?
98.36%
99.18%
97.5%
99.74%
QUESTION 5
Q1-5 If Pepsi improves its production process, and samples another 1000 bottles and finds a average weight of 12 oz with a standard deviation of 0.2 oz. What quality standard does this new process achieve (in terms of number of “sigma”)?
4.8 sigma
2.4 sigma
1.6 sigma
3 sigma
QUESTION 6
Q1-6 What is the standard deviation that Pepsi needs to achieve in order to achieve the 6-sigma standard without having to change the specification?
Sigma <=0.1
sigma<=0.2
sigma<=0.13
sigma<=0.18
99.97%
72.54%
93.7%
82.6%
Explanation / Answer
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Pepsi uses six-sigma technique to evaluate whether its 12 oz Gatorade has consistent weight. Pepsi took a sampling of 1000 12 oz Gatorade and found out that the average weight was 11.58 oz with a standard deviation of 0.3 oz. Pepsi considers a tolerance of ± 5% from 12 oz acceptable. Mean(M) 11.58 Std Dev (S) 0.3 5% level LSL(X) USL(X) 1What is the percentage of 12 oz Gatorade that meets the specification? 0.6 11.4 12.6 A 0.274253 0.999663 B NORM.DIST(X,M,S,TRUE) So range 0.72541 (B-A) 99.97% 72.54% Ans 93.70% 82.60%Related Questions
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