Question

1. We must remember when looking at an R or MR chart that it represents:

a) Short term variation

b) Long term variation

c) Overall variation

d.) None of the above

2. Can a technically "in control" process also be practically assessed as unacceptable?

a) No - the collected data is within the control limits

b) Yes - there may still be too much variation

c) No - control limits are always less than the customer defined specification limits

d) None of the above reasoning is correct

3. Based on variable data control Charts which test considers:
   15 points in a row within 1 standard deviation from the CL

a) Test 1

b) Test 8

c) Test 5

d) Test 7

e) Test 6

4. A P chart is used to present data that follows:

a) A normal distribution

b) A Binomial distribution

c) A Poisson distribution

d) None of the above

5. The p-chart can be used on:

a) Binomial Data

b) Poisson Data

c) Normal Data

d) None of the above

Answer 1

(1) We must remember when looking at an R or MR chart that it represents Short term Variation.

Clarification:

There are predominantly two wellsprings of variety that are:

Long term varieties: Variations in individual example results.

Transient varieties: Variations in the scopes of progressive examples.

So X bar outline manages the long haul variety as it centers around X bar (process normal.

Wherein R or MR manages transient variety as it manages R (Range average)

Therefore the "option-a" is the correct answer.

(2)

2. Can a technically "in control" process also be practically assessed as unacceptable?

Answer:d) None of the above reasoning is correct

Hence the "optio-d "is the correct answer.

(3)The Test 5 based variable data control charts which tests considers 15 points in a row within 1 standard deviation from the CL.

Hence the option-c is the correct answer.

(4)A P chart is used to present data that follows A Binomial distribution.

Hence the "option-b" is the correct answer.

(5)The P chart can be used on Binomial Data.

Hence the "option-a" is the correct answer.