A company considers itself to have quality processes in line with 6σ principles. Measurement of inspection time, from a large sample of a specific engine part, gave the following distribution:
Time (sec) Number
50-79 1
80-109 5
110-139 11
140-169 10
170-199 4
200-229 1
You have been asked to determine:
1) The mean inspection time
2) The standard deviation (in seconds). You should also present a graphical illustration of the distribution using appropriate computer software.
From the data gathered and processed, you have been asked to determine:
3) The maximum and minimum limits that inspection time might take (assuming the distribution to be normal and 6σ compliant - all times within mean ± 3σ)
4) The probability that a randomly chosen inspection time will be greater than 180 seconds
5) The probability that a randomly chosen inspection time will be shorter than 60 seconds
One of the machines is causing quality problems as 9.2% of the engine parts produced on this machine have been found to be defective. Find the probability of finding 0, 1, 2, 3, and 4 defective parts in a sample of 50 parts (assuming a binomial distribution). You should also present a graphical illustration of the probabilities using appropriate computer software.
Measurement of inspection time, from a large sample of outsourced components, gave the following distribution:
Time (sec) Number
20 1
22 3
24 2
25 3
27 4
28 3
29 3
31 4
Your manager thinks that the inspection time should be the same for all outsourced components. Using the data provided, test this hypothesis and indicate whether there is a correlation or not.
Your manager has asked you to summarize, using appropriate software, the statistical data you have been investigating in a method that can be understood by non-technical colleagues.