.MTC - Wear Your... 3G 20:55 3.2 Compute and interpret the power of your test. 30...
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.MTC - Wear Your... 3G 20:55 3.2 Compute and interpret the power of your test. 30 4.1 4.2 Question 4 [27] If a process is in a state of statistical control, does it necessarily follow that all or nearly all of the units of the product produced will be within the specification limits? Justify. [3] 4.3 elearning.unam.edu.na 12 Suppose that a quality feature has a normal distribution with specification limits between 90 and 100. Analysing thirty random parts of this feature resulted in a mean value of 97 and variance value of 2.56. What can you conclude about this process's capability? [5] 3 4 5 6 7 ▬▬▬▬▬▬▬▬▬▬▬▬▬ Consider the following data consisting of five samples, each with a size of seven measurements. Set up and interpret a standard deviation chart for the data. [19] S1 52 51.2 50.6 50.0 49.3 48.2 48.5 49.3 50.1 52.3 HH 2 50.2 49.8 49.4 50.3 49.7 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬ $3 $4 50.2 50.2 51.1 50.3 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 50.5 49.5 49.5 100% 50.5 [5] 49.8 49.8 50.5 49.8 49.9 50.9 S5 51.2 50.4 49.5 50.5 50.2 48.3 51.7 .MTC - Wear Your... 3G 20:55 3.2 Compute and interpret the power of your test. 30 4.1 4.2 Question 4 [27] If a process is in a state of statistical control, does it necessarily follow that all or nearly all of the units of the product produced will be within the specification limits? Justify. [3] 4.3 elearning.unam.edu.na 12 Suppose that a quality feature has a normal distribution with specification limits between 90 and 100. Analysing thirty random parts of this feature resulted in a mean value of 97 and variance value of 2.56. What can you conclude about this process's capability? [5] 3 4 5 6 7 ▬▬▬▬▬▬▬▬▬▬▬▬▬ Consider the following data consisting of five samples, each with a size of seven measurements. Set up and interpret a standard deviation chart for the data. [19] S1 52 51.2 50.6 50.0 49.3 48.2 48.5 49.3 50.1 52.3 HH 2 50.2 49.8 49.4 50.3 49.7 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬ $3 $4 50.2 50.2 51.1 50.3 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 50.5 49.5 49.5 100% 50.5 [5] 49.8 49.8 50.5 49.8 49.9 50.9 S5 51.2 50.4 49.5 50.5 50.2 48.3 51.7
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