Question

1. When a controlled process changes from 3s control to 6s control, it implies
   1. the s of the parameter remains the same.
   2. the distance between USL-LSL becomes smaller
   3. the distance between UCL-LCL becomes smaller
   4. the % of reject increases
   5. none of the above is true

2. In a simple linear regression analysis, the following sum of squares are produced:

   The proportion of the variation in y that is explained by the variation in x is:

1. 20%
2. 80%
3. 25%
4. 50%
5. none of the above      

3. Determine existing process capability occurs in which phases of Six Sigma?
   1. define
   2. measure
   3. analyse
   4. improve
   5. control

4. A study oven was made to find the effect of the variables: atmospheric humidity, hot-air temperature, and conveyor speed on drying capability of the oven as represented by the dry index. As shown in the following table, what is your interpretation of the result?

Term         Coef              SE Coef T-Value P-Value

Humidity   -0.001685      0.000615 -2.74             0.014

Temperature     0.002159 0.000226 9.54        0.000

Speed         -0.2378          0.0535           -4.54             0.000

A. increase 0.001685 unit in humidity will increase the dry by 1 unit given other factors constant

B.   decrease 1 unit in speed will increase 0.2378 unit of dry-ability given other factors constant

C.   increase 1 unit in temperature will decrease 0.2378 unit of speed

D. decrease 1 unit in humidity and 0.002159 unit of temperature will increase 1 unit in dry-ability

E.   All of above are false interpretations.

5. A set of data is collected for analysis. Which of the following conclusion about the data can be drawn from the following probability plot?

A. The sample size of 40 is too small for arriving any conclusion.

B.   The process is out of control because there are several points near the upper bound of 95% CI.

C.   There are some outliers, therefore the data is not normally distributed.

D. Since AD is larger than 0.10, the data is normally distributed.

E.   None of the above is correct.

6. In choosing the “best-fitting” line through a set of points in linear regression, we choose the one with the:

1. smallest sum of squared residuals
2. largest sum of squared residuals
3. smallest number of outliers
4. largest number of points on the line
5. none of the above

7. Modern quality management relies on tools that allow to predict if the deliverables of a project have met the desired quality levels. A control chart helps the project manager:

1. Focus on the most critical issues to improve quality.
2. Focus on stimulating thinking.
3. Determine if a process is functioning within the set limits.
4. Explore a desired future outcome.
5. None of the above

8. At an electronics firm, as the project manager, you are preparing your quality management plan. You are looking for a tool that can demonstrate the relationship between events and their resulting effects. You want to use this tool to depict the events that cause a negative effect on quality. Which of the following is the BEST choice for accomplishing your objective?

A. Histogram

B. Pareto diagram

C. Cause and effect diagram

D. Control chart

E. Scatter diagram

9. Three sigma standard implies a defect level of:
   1. 4.3 ppm.
   2. 6.6%
   3. 3.4 ppm
   4. 3.4%
   5. none of the above is true

10. Which of the following control chart is used to monitor categorical data?

A. X-bar chart

B. R chart

C. S chart

D. p chart

E. none of the above

Answer 1

1: When a controlled process changes from 3s control to 6s control, it implies the s of the parameter remains the same.

2: none of the above

3: In improve phase existing process capability occurs.

4: A study oven was made to find the effect of the variables: atmospheric humidity, hot-air temperature, and conveyor speed on drying capability of the oven as represented by the dry index. As shown in the following table:

Interpretation:  All of above are false interpretations.

5: Since AD is larger than 0.10, the data is normally distributed.

6: smallest sum of squared residuals.

7: Determine if a process is functioning within the set limits.

8. Scatter diagram

9. 3.4 ppm

10. none of the above following control chart is used to monitor categorical data.