Total Quality Management Online MCQ Set 12

QN01. The value of Var(3 - 4X) is:

  1. 5120 / 9
  2. 1280 / 81
  3. 5120 / 81
  4. 1280 / 9
Answer

(C)5120 / 81

QN02. 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?

  1. Exponential
  2. Normal
  3. Poisson
  4. Binomial
Answer

(D)Binomial

QN03. Which of the following is NOT true about the standard error of a statistic?

  1. The standard error measures, roughly, the average difference between the statistic and the population parameter.
  2. The standard error is the estimated standard deviation of the sampling distribution for the statistic.
  3. The standard error can never be a negative number.
  4. The standard error increases as the sample size(s) increases.
Answer

(D)The standard error increases as the sample size(s) increases.

QN04. 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
Answer

(C)results in either of two directions can lead to rejection of the null hypothesis

QN05. The chi-square test can be too sensitive if the sample is:

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

(B)very large

QN06. The treatment mean square (MSTR), Mean Square Error (MSE). If the true means of the k populations are equal, then MSTR/MSE should be:

  1. more than 1.00
  2. a positive number close to 1.00
  3. a positive number close to 0.00
  4. a negative value between 0.00 and - 1.00
Answer

(B)a positive number close to 1.00

QN07. The error deviations within the residual sum of squares (SSE) statistic measure distances:

  1. within groups
  2. between groups
  3. between each value and the grand mean
  4. none of these
Answer

(A)within groups

QN08. 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)
Answer

(C)The Residual Sum of Squares (SSE)

QN09. 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)?

  1. All three treatments have different effects on the mean response.
  2. Exactly two of the three treatments have the same effect on the mean response.
  3. At least two treatments are different from each other in terms of their effect on the mean
  4. response.
  5. None of these
Answer

(C)At least two treatments are different from each other in terms of their effect on the mean response.

QN10. Two factors are said to interact when

  1. the simple main effects of one factor are not homogeneous across all levels of the other.
  2. the simple main effects of one factor are homogeneous across the levels of the other.
  3. there are neither main effects nor simple main effects.
  4. there are no main effects.
Answer

(A)the simple main effects of one factor are not homogeneous across all levels of the other.

QN11. How many dependent variables does a two-way ANOVA have?

  1. One
  2. Two
  3. Three
  4. Four
Answer

(A)One

QN12. 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.
Answer

(A)detect a curvilinear relationship between variables.

QN13. If a researcher planned to have 20 participants in each condition of a 2 x 3 independent groups factorial design, how many participants would be needed for this experiment?

  1. 40
  2. 60
  3. 80
  4. 120
Answer

(D)120

QN14. What are the factors in a factorial design?

  1. the independent variables
  2. the dependent variables
  3. the organismic variables
  4. the experimental variables
Answer

(A)the independent variables

QN15. In a factorial design, a main effect is the ______________.

  1. the combined effect of the independent variables on the dependent variable
  2. interaction effect of the independent variables and their effect on the dependent
  3. the effect of each independent variable on the dependent variable
  4. interaction of the independent variables
Answer

(C)the effect of each independent variable on the dependent variable

QN16. During experimental design, a variable is defined as:

  1. Treatment
  2. Factor
  3. Variance
  4. None of these
Answer

(B)Factor

QN17. 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
Answer

(A)15

QN18. For question 09 - 15, consider the model with the two factors, each at two levels:

  1. 40
  2. 20
  3. 10
  4. 5
Answer

(A)40

QN19. In a 3 x 3 factorial design, how many conditions are there in the experiment?

  1. 2
  2. 3
  3. 6
  4. 9
Answer

(D)9

QN20. What is the Sum of Squares of Number of Fertilizers (B)?

  1. 6.075
  2. 39.48
  3. 7.19
  4. 3.89
Answer

(C)7.19

QN21. What is the degree of freedom of B?

  1. 1
  2. 2
  3. 3
  4. 4
Answer

(B)2

QN22. A serious problem can occur in multiple regression analysis if an important variable is omitted from the list of independent variables. This can lead to

  1. unbiased least squares estimators.
  2. biased least squares estimators.
  3. a biased estimator of the variance.
  4. All of these
Answer

(B)biased least squares estimators.

QN23. What does the Adjusted R squared value tells us?

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

(D)The Adjusted R squared value tells us how much of the variance in the dependent variable can be accounted for by the independent variable

QN24. ______________ is the set of activities that ensures the quality levels of products and services are properly maintained and that supplier and customer quality issues are properly resolved.

  1. Quality Assurance
  2. Quality Planning
  3. Quality Control
  4. Quality Management
Answer

(A)Quality Assurance

QN25. 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 were tested and 1980 of them were HIV positive. What is the parameter of interest?

  1. The number of people in South Africa
  2. The 5000 people sampled
  3. The number of people in South Africa who are HIV positive
  4. The 1980 people sampled who were HIV positive
Answer

(C)The number of people in South Africa who are HIV positive

QN26. An advertising executive is studying television-viewing habits of married men and women during prime time hours. On the basis of past viewing records, the executive has determined that during prime time, husbands are watching television 40% of the time. It has also been determined that when the husband is watching television, 40% of the time the wife is also watching. When the husband is not watching television, 30% of the time the wife is watching television. Find the probability that the wife is watching television in prime time.

  1. 0.36
  2. 0.35
  3. 0.34
  4. 0.32
Answer

(C)0.34

QN27. Student's t-test is applicable only when:

  1. n ≤ 30 and σ is known
  2. n > 30 and σ is unknown
  3. n = 30 and σ is known
  4. All of these
Answer

(A)n ≤ 30 and σ is known

QN28. A result is called "statistically significant" whenever

  1. The null hypothesis is true.
  2. The alternative hypothesis is true.
  3. The p-value is less or equal to the significance level.
  4. The p-value is larger than the significance level.
Answer

(C)The p-value is less or equal to the significance level.

QN29. The ______________ sum of squares measures the variability of the observed values around their respective treatment means.

  1. treatment
  2. error
  3. interaction
  4. total
Answer

(B)error

QN30. What must you include when reporting an ANOVA?

  1. Standard deviations, Degrees of freedom, Means, F statistic, P value
  2. Standard deviations, Means, F statistic, P value
  3. Standard deviations, Degrees of freedom, Means, F statistic
  4. Degrees of freedom, F statistic, P value
Answer

(A)Standard deviations, Degrees of freedom, Means, F statistic, P value

QN31. As variability due to chance decreases, the value of F will

  1. increase
  2. stay the same
  3. decrease
  4. can't tell from the given information
Answer

(A)increase

QN32. When conducting an ANOVA, the F-Value calculated from the data will always fall within what'range?

  1. between negative infinity and infinity
  2. between 0 and 1
  3. between 0 and infinity
  4. between 1 and infinity
Answer

(C)between 0 and infinity

QN33. Two factors are said to be orthogonal when:

  1. they are correlated, that is, they cannot vary independently
  2. there are equal numbers of participants in all groups
  3. they are uncorrelated, that is, they vary independently
  4. there is a single control group, with which all the other groups can be compared
Answer

(C)they are uncorrelated, that is, they vary independently

QN34. If we add together the sums of squares for the simple main effects of one factor at all the different levels of another factor, we shall obtain:

  1. The interaction sum of squares for the complete experiment
  2. The main effect sum of squares for the second factor, plus the sum of squares for its interaction with the first factor
  3. The main effect sum of squares for the first factor
  4. The main effect sum of squares for the first factor, plus the sum of squares for its interaction with the second factor
Answer

(D)The main effect sum of squares for the first factor, plus the sum of squares for its interaction with the second factor

QN35. In a factorial design, a main effect is the ______________.

  1. the combined effect of the independent variables on the dependent variable
  2. interaction effect of the independent variables and their effect on the dependent variable
  3. the effect of each independent variable on the dependent variable
  4. interaction of the independent variables
Answer

(C)the effect of each independent variable on the dependent variable

QN36. You have carried out a Kruskal-Wallis test. There are significant differences between the three groups you are testing. How might you conduct your pairwise comparisons?

  1. Use the Mann Whitney test
  2. Use the Wilcoxon test
  3. Use a t-test
  4. None of the above. Post hoc analyses cannot be carried out with non parametric data
Answer

(A)Use the Mann Whitney test

QN37. A 2 X 2 factorial

  1. is essentially two designs that have been combined into a single study.
  2. contains four factors.
  3. does not have enough factors to show interactions.
  4. is extremely difficult to interpret if interactions are found.
Answer

(A)is essentially two designs that have been combined into a single study.

QN38. In factorial designs, the number of times a condition is noted is called:

  1. Randomization
  2. Factorization
  3. Replication
  4. None of These
Answer

(C)Replication

QN39. A factorial design is one in ______________

  1. Only one independent variable is studied to determine its effect on the dependent variable
  2. Only two independent variables are simultaneously studied to determine their independent and interactive effects on the dependent variables
  3. Two or more independent variables are simultaneously studied to determine their independent and interactive effects on the dependent variable
  4. Two dependent variables are studied to determine their interactive effects
Answer

(C)Two or more independent variables are simultaneously studied to determine their independent and interactive effects on the dependent variable

QN40. What is the Interaction between memory and cache (MIPS)?

  1. 40
  2. 20
  3. 10
  4. 5
Answer

(D)5

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