Welcome to our comprehensive guide on Quality Management and Improvement! Whether you’re a seasoned professional or just starting to explore the world of quality control, this blog is designed to test and enhance your knowledge in this critical field. Quality management is the backbone of efficient and successful organizations, ensuring products and services meet or exceed customer expectations.
In this blog, we’ve curated the top 20 questions that cover key aspects of quality management, ranging from foundational principles to advanced improvement techniques. Get ready to challenge yourself and discover new insights that will undoubtedly contribute to your expertise in maintaining and enhancing quality within any industry.
Let’s dive into the world of quality management and elevate your understanding with these engaging quiz questions and insightful answers! Now, let’s move on to the Top 20 Quality Management And Improvement Questions With Answers.
Q1. If the p-value of a t test is 0.6656 and the alpha level is 0.05 then we _ the null hypothesis and we claim that the means of two groups are _.
[ A ] fail to reject [ C ] reject
[ B ] equal [ D ] unequalSelect one:
a. C D
b. A B
c. A DQ2. Identify the major variation classifications specifically addressed in multi vari studies:
Select one:
a. Cyclical, batch, flat
b. Positional, cyclical, temporal
c. Temporal, top to bottom, side to side
d. Piece-to-piece, batch-to-batch, within pieceQ3. Why should an experimenter plot data points and graph the least squares line if a probabilistic regression model exists?
Select one:
a. To check for fit; there may be a calculation error
b. To permit a projection outside of the test area
c. To visually present the relationship to others
d. There's no rational reason for doing soQ4. A hypothesis test is a statistical method in which a specific hypothesis is formulated about the population, and the decision of whether to reject the hypothesis is made based on sample data.
Select one:
a. True
b. FalseQ5. A six sigma green belt is performing a hypothesis test of two sample means. Sixteen samples of method A and sixteen samples of method B are produced. The standard deviations are unknown, but thought to be the same. How many degrees of freedom are to be used for the t test?
Select one:
a. 32
b. 16
c. 30
d. 31Q6. The difference between setting alpha equal to 0.05 and alpha equal to 0.01 in hypothesis testing is:
Select one:
a. With alpha equal to 0.05, one is more willing to risk a type II error
b. With alpha equal to 0.05, one is more willing to risk a type I error
c. With alpha equal to 0.05, one is less willing to risk either type I or type II error
d. Alpha equal to 0.05 is a more conservative test of the null hypothesisQ7. It is possible that two variables have a perfect non-linear relationship when the correlation coefficient is low.
Select one:
a. True
b. FalseQ8. Ratios of two variances drawn from the same normal population are described by which one of the following distributions?
Select one:
a. Normal
b. Student's t
c. F
d. Chi-squareQ9. In a t test, alpha is 0.05, therefore:
Select one:
a. 95% of the time the null hypothesis will be correct
b. 5% of the time we will say that there is no real difference, but in reality there is a difference
c. 95% of the time we will say that there is a real difference when there really is not a difference
d. 5% of the time we will say that there is a real difference when there really is not a differenceQ10. If a one-tail F test (95% confidence) with ten samples yielded a variance of nine, and nine samples yielded a variance of four, what F critical value would be used?
Select one:
a. 3.39
b. 3.23
c. 3.44
d. 3.14Q11. A student's t test can be used to determine whether or not differences exist in:
Select one:
a. Confidence intervals
b. Correlation coefficients
c. Variability
d. AveragesQ12. R square (also called coefficient of determination) measures the proportion of variability in the data which can be explained by the model.
Select one:
a. True
b. FalseQ13. One sample t-test is a hypothesis test to study whether there is a statistically significant difference between a population mean and a specified value.
Select one:
a. True
b. FalseQ14. Which of the following is a valid null hypothesis?
Select one:
a. mu = 110
b. mu < 98 p > 0.125
c. The mean of population
d. A is not equal to the mean of population BQ15. Which of the following statements is true?
Select one:
a. Confidence intervals for the mean are independent of the population distribution
b. Confidence intervals are always symmetrical
c. Confidence intervals increase in width as the sample size increases
d. Confidence intervals are independent of the sample sizeQ16. A null hypothesis states that a process has not improved as a result of some modifications. The type II error is to conclude that:
Select one:
a. One has made a correct decision with a probability of alpha
b. One has rejected the null hypothesis
c. One has failed to reject to reject the null hypothesis when it was true
d. One has failed to reject the null hypothesis when it was falseQ17. Chi-square test can be used to test whether there is any statistically significant relationship between two discrete factors?
Select one:
a. True
b. FalseQ18. One-way analysis of variance is most similar in its objectives to:
Select one:
a. A test of a population mean
b. A chi-square test for independence
c. A test for equality of two population means
d. A test for equality of two sample proporationsQ19. Of the various statistical analysis tools available, which one would be the most likely to show a plot of all readings taken?
Select one:
a. Chi-square
b. X-bar/R charts
c. Multi-vari charts
d. ANOVAQ20. The test used for testing significance in an analysis of variance table is the:
Select one:
a. Z test
b. Chi-square test
c. t test
d. F test
Answers
- b
- b
- a
- a
- c
- b
- a
- c
- d
- a
- d
- a
- a
- a
- a
- d
- a
- c
- c
- d