Quality Question Bank
for Exam preparation

Q2. Big Q is:

1. Quality of services
2. Quality of people
3. Quality of processes
4. All of the above

Q3. In one-way ANOVA, which of the following is used within the F-ratio as a measurement of the variance of individual observations?

1. The Sum of Square of Treatments (SSTR)
2. The Treatment Mean Square (MSTR)
3. The Residual Sum of Squares (SSE)
4. The Mean Sum of Squares (MSE)

Q4. A researcher conducted a 2 x 2 completely repeated measures factorial design and planned 15 participants in each condition. How many participants would be required to conduct this experiment?

1. 15
2. 30
3. 45
4. 60

Q5. When data is plotted on the control charts, the data is of two types: R and -bar. The R data represent points of a ______________ while the X-bar data represent points of a(n) ______________.

1. real sample; simulated sample
2. 100 percent sampling; 10 percent sampling
3. sampling run; average of several runs
4. random sampling; continuous sampling
5. random sample; cross-matrix sample

Q6. Which of the following is not one of the seven Quality Management Principles?

1. System Approach to Management
2. Engagement of people
3. Leadership
4. Customer focus
5. None of the above

Q7. A two-tailed test is one where:

1. results in only one direction can lead to rejection of the null hypothesis
2. negative sample means lead to rejection of the null hypothesis
3. results in either of two directions can lead to rejection of the null hypothesis
4. no results lead to the rejection of the null hypothesis

Q8. The chi-square test can be too sensitive if the sample is:

1. very small
2. very large
3. homogeneous
4. predictable

Q9. What does the Adjusted R squared value tells us?

1. The Adjusted R squared value tells us how much of the variance in the dependent variable can be accounted for by the independent variable
2. The Adjusted R squared value tells us if there is a positive relationship
3. The Adjusted R squared value tells us if there is a significant difference
4. The Adjusted R squared value tells us if there is a significant relationship

Q10. A simple experimental design with two levels of an independent variable cannot

1. detect a curvilinear relationship between variables.
2. detect a monotonic relationship.
3. reveal a positive relationship.
4. show a negative relationship outcome.