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This section includes 14 Mcqs, each offering curated multiple-choice questions to sharpen your Statistical Quality Control knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Sample size is allowed to vary for the construction of the DNOM based control charts. |
| A. | True |
| B. | False |
| Answer» C. | |
| 2. |
Standardized R chart which uses control limits D3 and D4 has the value of \(R_i^s\) = _________ |
| A. | \(R_i^s=\frac{3R_i}{R_j}\) |
| B. | \(R_i^s=\frac{R_i}{2R_j}\) |
| C. | \(R_i^s=\frac{2R_i}{R_j}\) |
| D. | \(R_i^s=\frac{R_i}{R_j}\) |
| Answer» E. | |
| 3. |
Which of these will work correctly and efficiently, when the process standard deviations are different for different part numbers? |
| A. | Standardized x bar and R charts |
| B. | Standardized attribute charts |
| C. | DNOM charts |
| D. | Both, the cusum and EWMA charts |
| Answer» B. Standardized attribute charts | |
| 4. |
Standard hypothesis testing procedures are used to compare __________ process average to a desired process target to determine whether the process mean is different from the target. |
| A. | New |
| B. | Historical |
| C. | Correct |
| D. | Disturbed |
| Answer» C. Correct | |
| 5. |
Which of these does not need to have the nominal value specified frequently? |
| A. | When part has two-sided specifications |
| B. | When part has one-sided specifications |
| C. | When the part can’t have one sided specifications |
| D. | When the part has either one-sided or two sided specifications |
| Answer» C. When the part can’t have one sided specifications | |
| 6. |
What is used instead of Nominal values when the nominal value is not given in the case of DNOM approach? |
| A. | Historical process standard deviation |
| B. | New standard deviation |
| C. | Historical process average |
| D. | Historical process variance |
| Answer» D. Historical process variance | |
| 7. |
Which of these is true for DNOM approach? |
| A. | The sample size is variable |
| B. | The process standard deviation is different for all parts |
| C. | The sample size varies from one part to another |
| D. | The sample size remains same for all parts |
| Answer» E. | |
| 8. |
Which of these assumptions are made while using the DNOM approach? |
| A. | The process standard deviation is same for all parts |
| B. | The process standard deviation is different for all parts |
| C. | The samples size is variable |
| D. | The sample size is 1 |
| Answer» B. The process standard deviation is different for all parts | |
| 9. |
How many samples are generally taken before calculating the control limits for the DNOM x bar and R charts? |
| A. | 10 |
| B. | 40 |
| C. | 35 |
| D. | 20 |
| Answer» E. | |
| 10. |
If in a manufacturing process, the measurements for a certain dimension for a part are, 50, 51 and 52; where the nominal value of the dimension measured is 50, what will be the DNOM mean? |
| A. | 1 |
| B. | 50 |
| C. | 51 |
| D. | 0.33 |
| Answer» B. 50 | |
| 11. |
The mean of the variable measured is replaced by the mean of ________ value in the case of the DNOM chart. |
| A. | Normal value |
| B. | Deviation from normal |
| C. | Range |
| D. | Deviation from normal range |
| Answer» C. Range | |
| 12. |
If the Mi is the actual sample measurement, and TA is a nominal value, what will be the DNOM? |
| A. | xi = Mi – 2TA |
| B. | xi = Mi – TA |
| C. | xi = 2TA – Mi |
| D. | xi = TA + Mi |
| Answer» C. xi = 2TA – Mi | |
| 13. |
Which of these is used as a technique for process control for short production runs? |
| A. | Using deviation from nominal to plot the control chart |
| B. | Using the variable value to plot the control chart |
| C. | Using the variable change to plot the control chart |
| D. | Using the variable decrease or increase to plot the chart |
| Answer» B. Using the variable value to plot the control chart | |
| 14. |
Which of these is the correct expansion of DNOM? |
| A. | Deviation from Lognormal |
| B. | Derived from normal |
| C. | Deviation from normal |
| D. | Deviation from normality |
| Answer» D. Deviation from normality | |