McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Mechanical Engineering , Electronics and Communication Engineering .
| 201. |
The ______________ diagram starts with one item which then branches of into two or more items. This diagram is used to breakdown broad categories into finer levels of detail. |
| A. | Affinity |
| B. | Tree |
| C. | Relations |
| D. | Matrix |
| Answer» B. Tree | |
| 202. |
Lot tolerance percent defective (LTPD) is a level of lot quality specified by the ______________. |
| A. | Consumer |
| B. | Producer |
| C. | Supplier |
| D. | Sampling Plan |
| Answer» A. Consumer | |
| 203. |
Machine wear and tear is ______________ source of variation. |
| A. | Random |
| B. | Natural |
| C. | Assignable |
| D. | Cannot be determined |
| Answer» C. Assignable | |
| 204. |
Pattern in control charts which show the tendency to cluster around central line is termed as: |
| A. | Stratification |
| B. | Mixture |
| C. | Cyclic pattern |
| D. | Shift in process level |
| Answer» A. Stratification | |
| 205. |
When output product of several sources is fed into a common stream, the pattern of the control chart expected is: |
| A. | Stratification |
| B. | Trend |
| C. | Mixture |
| D. | Cyclic Pattern |
| Answer» C. Mixture | |
| 206. |
A fan blade is specified by length and thickness. While sampling, it was found that for one particular blade, the length was non-conforming while the thickness was as per specifications. Should the blade be considered non-conforming for construction of a p chart? |
| A. | Yes |
| B. | No |
| C. | none |
| D. | none |
| Answer» A. Yes | |
| 207. |
Consider that for a particular process, the p has shifted to .4 and the process has gone out of control. The corresponding value of beta is found to be .3356. The value of Average Run Length is: |
| A. | 2.5 |
| B. | 1.5 ((1/1-beta) provides us with average run length) |
| C. | 1.0 |
| D. | 2.7 |
| Answer» B. 1.5 ((1/1-beta) provides us with average run length) | |
| 208. |
Consider for a process in control, the value of alpha is .0015. What is the value of the average run length? |
| A. | 666 ( 1/alpha gives us an estimate of average run length) |
| B. | 555 |
| C. | 444 |
| D. | None of the above |
| Answer» A. 666 ( 1/alpha gives us an estimate of average run length) | |
| 209. |
Identify the charts which might give an indication of process going out of control (before the process has actually changed) |
| A. | X bar and c |
| B. | P and c |
| C. | R and u |
| D. | X bar and R |
| Answer» D. X bar and R | |
| 210. |
The four phases of the Shewart cycle are: |
| A. | Plan, Do, Scan, Implement |
| B. | Plan , Act , Do, Control |
| C. | Plan, Do, Act, Check |
| D. | Implement, Design, Control, Plan |
| Answer» C. Plan, Do, Act, Check | |
| 211. |
For a process which is six sigma complaint, the percentage of products within specifications is: |
| A. | 95.20% |
| B. | 99.73% |
| C. | 99.10% |
| D. | 96.78% |
| Answer» B. 99.73% | |
| 212. |
Mistake proofing of process is done in the ______________ stage of DMAIC. |
| A. | Define |
| B. | Measure |
| C. | Improve |
| D. | Control |
| Answer» C. Improve | |
| 213. |
In ______________ step of Quality Function Deployment, product or service requirements are collected and analyzed through techniques like market research. |
| A. | Identify Customer Attributes |
| B. | Identify Design Attributes / Requirements |
| C. | Conduct an Evaluation of Competing Products. |
| D. | Evaluate Design Attributes and Develop Targets |
| Answer» A. Identify Customer Attributes | |
| 214. |
For a double sampling plan the probability of acceptance on the combined samples is calculated as: |
| A. | Maximum of probability of acceptance of first and second sample |
| B. | Product of probability of acceptance of first and second sample |
| C. | Average of probability of acceptance of first and second sample |
| D. | Sum of probability of acceptance of first and second sample |
| Answer» D. Sum of probability of acceptance of first and second sample | |
| 215. |
______________ can be defined as small subset of a lot. |
| A. | Defect |
| B. | Fraction Acceptable |
| C. | Sample |
| D. | Acceptance Number |
| Answer» C. Sample | |
| 216. |
If the value of D4 = 2.547, D3=0, then what is the UCL and LCL for the R chart? |
| A. | UCL=1.5, LCL=.4 |
| B. | UCL= 1.2, LCL=.2 |
| C. | UCL=1.5, LCL=0 |
| D. | UCL=1.6, LCL=0 |
| Answer» D. UCL=1.6, LCL=0 | |
| 217. |
Process capability ratio is expressed as: |
| A. | USL+LSL/6σ |
| B. | USL-LSL/6σ |
| C. | USL-LSL/3σ |
| D. | USL-LSL/σ |
| Answer» B. USL-LSL/6σ | |
| 218. |
Which of the following is the correct combination of specifications while designing a control chart? |
| A. | Sample size, Frequency of sampling, specification limit |
| B. | Sample size, Frequency of sampling, Number of defects |
| C. | Sample size, Specification limit, process standard deviation |
| D. | Sample size, Process mean, specification limit |
| Answer» A. Sample size, Frequency of sampling, specification limit | |
| 219. |
For a c chart, the LCL comes out to be -.7. The value of LCL that should be used is: |
| A. | -.7 |
| B. | 0 |
| C. | 1 |
| D. | None of the above |
| Answer» B. 0 | |
| 220. |
For a Poisson distribution: |
| A. | The mean is greater than the variance |
| B. | The mean is less than variance |
| C. | The mean is equal to the variance |
| D. | Cannot be determined |
| Answer» C. The mean is equal to the variance | |
| 221. |
Effective quality control results in: |
| A. | Increase in customer satisfaction |
| B. | Lower cost |
| C. | None of the above |
| D. | Both a and b |
| Answer» D. Both a and b | |
| 222. |
Effective quality improvement can be instrumental in: |
| A. | Increasing productivity |
| B. | Reducing cost |
| C. | Both a and b |
| D. | None of the above |
| Answer» C. Both a and b | |
| 223. |
Typically in a cause and effect diagram, the ______________ is used for classification of causes in the service industry. |
| A. | 5Ms |
| B. | 8Ps |
| C. | 5Ss |
| D. | 6Ps |
| Answer» C. 5Ss | |
| 224. |
Producers risk can be defined as: |
| A. | The probability of rejecting a good lot |
| B. | The probability of accepting a bad lot |
| C. | The probability of accepting a good lot |
| D. | The probability of rejecting a bad lot |
| Answer» A. The probability of rejecting a good lot | |
| 225. |
In critical path method, earliest start is the: |
| A. | The largest Earliest Finish leading to that task |
| B. | The smallest Earliest Finish leading to that task |
| C. | Average of Earliest Finish leading to that task |
| D. | Whenever the task can start |
| Answer» A. The largest Earliest Finish leading to that task | |
| 226. |
Which of the following is not a use of arrow diagram: |
| A. | Determining the best schedule for the entire project |
| B. | Potential Scheduling problem and solution |
| C. | Calculate critical path of the project |
| D. | Identifying defects in a process |
| Answer» D. Identifying defects in a process | |
| 227. |
For an ideal OC curve the probability of acceptance for lot fraction defective less than .01 is ______________. |
| A. | Equal to 1 |
| B. | Less than 1 |
| C. | Greater than 1 |
| D. | 0 |
| Answer» A. Equal to 1 | |
| 228. |
If we want to detect small process shifts using x bar chart, we should use a sample size of: |
| A. | Less than 5 |
| B. | 5-10 |
| C. | 10-15 |
| D. | 15-25 |
| Answer» D. 15-25 | |
| 229. |
Factory A produces 100 pieces of wooden legs used in manufacturing tables in 1 hour. The factory in total works for 3 hours. The quality manager decided to check the quality of the output by measuring the length of the legs (in cms). He decides to collect three samples (one for each hour). The sample size for each sample is fixed at 5. The data collected is present in the following table: What is the mean and range of leg length in sample 1? |
| A. | Mean=10.3;Range=.3 |
| B. | Mean=10.1;Range=.8 |
| C. | Mean=10.2;Range=.6 |
| D. | Mean=9.9;Range=.5 |
| Answer» B. Mean=10.1;Range=.8 | |
| 230. |
The parameters of s2 chart is specified using: |
| A. | Normal Distribution |
| B. | Geometric Distribution |
| C. | Binomial Distribution |
| D. | Chi-square distribution |
| Answer» D. Chi-square distribution | |
| 231. |
Failure Mode and Effects Analysis, which prioritizes different sources of error, is used in _________________ stage. |
| A. | Define |
| B. | Measure |
| C. | Improve |
| D. | Analyze |
| Answer» D. Analyze | |
| 232. |
The South African government is concerned about the high incidence of HIV/AIDS in South Africa. They wish to estimate the true number of people in South Africa who are HIV positive. A random sample of 5000 people was tested and 1980 of them were HIV positive. What is the statistic? |
| A. | The 5000 people sampled |
| B. | All the people in South Africa |
| C. | Impossible to calculate from the given information |
| D. | The 1980 people sampled who were HIV positive |
| Answer» D. The 1980 people sampled who were HIV positive | |
| 233. |
In case someone is interested in process standard deviation, he should construct the ______________ chart. |
| A. | X bar |
| B. | R chart |
| C. | S chart |
| D. | None of these |
| Answer» C. S chart | |
| 234. |
The value of Var (3 - 4X) is: |
| A. | 5120 / 9 |
| B. | 1280 / 81 |
| C. | 5120 / 81 |
| D. | 1280 / 9 |
| Answer» C. 5120 / 81 | |
| 235. |
Suppose box A contains 4 red and 5 blue coins and box B contains 6 red and 3 blue coins. A coin is chosen at random from the box A and placed in box B. Finally, a coin is chosen at random from among those now in box B. What is the probability a blue coin was transferred from box A to box B given that the coin chosen from box B is red? |
| A. | 15/29 |
| B. | 14/29 |
| C. | 1/2 |
| D. | 7/10 |
| Answer» A. 15/29 | |
| 236. |
A multiple-choice test has 30 questions. There are 4 choices for each question. A student who has not studied for the test decides to answer all the questions randomly by guessing the answer to each question. Which of the following probability distributions can be used to calculate the student's chance of getting at least 20 questions right? |
| A. | Exponential |
| B. | Normal |
| C. | Poisson |
| D. | Binomial |
| Answer» D. Binomial | |
| 237. |
Which of the following is NOT true about the standard error of a statistic? |
| A. | The standard error measures, roughly, the average difference between the statistic and the population parameter. |
| B. | The standard error is the estimated standard deviation of the sampling distribution for the statistic. |
| C. | The standard error can never be a negative number. |
| D. | The standard error increases as the sample size(s) increases. |
| Answer» D. The standard error increases as the sample size(s) increases. | |
| 238. |
A two-tailed test is one where: |
| A. | results in only one direction can lead to rejection of the null hypothesis |
| B. | negative sample means lead to rejection of the null hypothesis |
| C. | results in either of two directions can lead to rejection of the null hypothesis |
| D. | no results lead to the rejection of the null hypothesis |
| Answer» C. results in either of two directions can lead to rejection of the null hypothesis | |
| 239. |
The chi-square test can be too sensitive if the sample is: |
| A. | very small |
| B. | very large |
| C. | homogeneous |
| D. | predictable |
| Answer» B. very large | |
| 240. |
The treatment mean square (MSTR), Mean Square Error (MSE). If the true means of the k populations are equal, then MSTR/MSE should be: |
| A. | more than 1.00 |
| B. | a positive number close to 1.00 |
| C. | a positive number close to 0.00 |
| D. | a negative value between 0.00 and - 1.00 |
| Answer» B. a positive number close to 1.00 | |
| 241. |
The error deviations within the residual sum of squares (SSE) statistic measure distances: |
| A. | within groups |
| B. | between groups |
| C. | between each value and the grand mean |
| D. | none of these |
| Answer» A. within groups | |
| 242. |
In one-way ANOVA, which of the following is used within the F-ratio as a measurement of the variance of individual observations? |
| A. | The Sum of Square of Treatments (SSTR) |
| B. | The Treatment Mean Square (MSTR) |
| C. | The Residual Sum of Squares (SSE) |
| D. | The Mean Sum of Squares (MSE) |
| Answer» C. The Residual Sum of Squares (SSE) | |
| 243. |
You obtained a significant test statistic when comparing three treatments in a one-way ANOVA. In words, how would you interpret the alternative hypothesis H(a)? |
| A. | All three treatments have different effects on the mean response. |
| B. | Exactly two of the three treatments have the same effect on the mean response. |
| C. | At least two treatments are different from each other in terms of their effect on the mean |
| D. | Response. |
| Answer» C. At least two treatments are different from each other in terms of their effect on the mean | |
| 244. |
Two factors are said to interact when |
| A. | The simple main effects of one factor are not homogeneous across all levels of the other. |
| B. | The simple main effects of one factor are homogeneous across the levels of the other. |
| C. | There are neither main effects nor simple main effects. |
| D. | There are no main effects. |
| Answer» A. The simple main effects of one factor are not homogeneous across all levels of the other. | |
| 245. |
How many dependent variables does a two-way ANOVA have? |
| A. | One |
| B. | Two |
| C. | Three |
| D. | Four |
| Answer» A. One | |
| 246. |
A simple experimental design with two levels of an independent variable cannot |
| A. | Detect a curvilinear relationship between variables. |
| B. | Detect a monotonic relationship. |
| C. | Reveal a positive relationship. |
| D. | Show a negative relationship outcome. |
| Answer» A. Detect a curvilinear relationship between variables. | |
| 247. |
If a researcher planned to have 20 participants in each condition of a 2 x 3 independent group’s factorial design, how many participants would be needed for this experiment? |
| A. | 40 |
| B. | 60 |
| C. | 80 |
| D. | 120 |
| Answer» D. 120 | |
| 248. |
What are the factors in a factorial design? |
| A. | the independent variables |
| B. | the dependent variables |
| C. | the organism variables |
| D. | the experimental variables |
| Answer» A. the independent variables | |
| 249. |
In a factorial design, a main effect is the ______________. |
| A. | the combined effect of the independent variables on the dependent variable |
| B. | interaction effect of the independent variables and their effect on the dependent |
| C. | the effect of each independent variable on the dependent variable |
| D. | interaction of the independent variables |
| Answer» C. the effect of each independent variable on the dependent variable | |
| 250. |
During experimental design, a variable is defined as: |
| A. | Treatment |
| B. | Factor |
| C. | Variance |
| D. | None of these |
| Answer» B. Factor | |
Done Studing? Take A Test.
Great job completing your study session! Now it's time to put your knowledge to the test. Challenge yourself, see how much you've learned, and identify areas for improvement. Don’t worry, this is all part of the journey to mastery. Ready for the next step? Take a quiz to solidify what you've just studied.