On This Page

This set of Total Quality Management TQM Multiple Choice Questions & Answers (MCQs) focuses on Total Quality Management Set 11

Q1 | A researcher conducted a 2 x 2 completely repeated measures factorial design and planned15 participants in each condition. How many participants would be required to conduct this experiment?
  • 15
  • 30
  • 45
  • 60
Q2 | For question 09 - 15, consider the model with the two factors, each at two levels:
  • 40
  • 20
  • 10
  • 5
Q3 | In a 3 x 3 factorial design, how many conditions are there in the experiment?
  • 2
  • 3
  • 6
  • 9
Q4 | What is the Sum of Squares of Number of Fertilizers (B)?
  • 6.075
  • 39.48
  • 7.19
  • 3.89
Q5 | What is the degree of freedom of B?
  • 1
  • 2
  • 3
  • 4
Q6 | A serious problem can occur in multiple regression analysis if an important variable isomitted from the list of independent variables. This can lead to
  • Unbiased least squares estimators.
  • Biased least squares estimators.
  • A biased estimator of the variance.
  • All of these
Q7 | What does the Adjusted R squared value tells us?
  • The Adjusted R squared value tells us if there is a positive relationship
  • The Adjusted R squared value tells us if there is a significant difference
  • The Adjusted R squared value tells us if there is a significant relationship
  • The Adjusted R squared value tells us how much of the variance in the dependent variable can be accounted for by the independent variable
Q8 | 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 parameter of interest?
  • The number of people in South Africa
  • The 5000 people sampled
  • The number of people in South Africa who are HIV positive
  • The 1980 people sampled who were HIV positive
Q9 | Student's t-test is applicable only when:
  • n ≤ 30 and σ is known
  • n > 30 and σ is unknown
  • n = 30 and σ is known
  • All of these
Q10 | 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.
  • 0.36
  • 0.35
  • 0.34
  • 0.32
Q11 | A result is called "statistically significant" whenever
  • The null hypothesis is true.
  • The alternative hypothesis is true.
  • The p-value is less or equal to the significance level.
  • The p-value is larger than the significance level.
Q12 | The ______________ sum of squares measures the variability of the observed valuesaround their respective treatment means.
  • treatment
  • error
  • interaction
  • total
Q13 | What must you include when reporting an ANOVA?
  • Standard deviations, Degrees of freedom, Means, F statistic, P value
  • Standard deviations, Means, F statistic, P value
  • Standard deviations, Degrees of freedom, Means, F statistic
  • Degrees of freedom, F statistic, P value
Q14 | As variability due to chance decreases, the value of F will
  • increase
  • stay the same
  • decrease
  • can't tell from the given information
Q15 | When conducting an ANOVA, the F-Value calculated from the data will always fall withinwhat ‘range?
  • between negative infinity and infinity
  • between 0 and 1
  • between 0 and infinity
  • between 1 and infinity
Q16 | Two factors are said to be orthogonal when:
  • they are correlated, that is, they cannot vary independently
  • there are equal numbers of participants in all groups
  • they are uncorrelated, that is, they vary independently
  • there is a single control group, with which all the other groups can be compared
Q17 | 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:
  • The interaction sum of squares for the complete experiment
  • The main effect sum of squares for the second factor, plus the sum of squares for its interaction with the first factor
  • The main effect sum of squares for the first factor
  • The main effect sum of squares for the first factor, plus the sum of squares for its interaction with the second factor
Q18 | In a factorial design, a main effect is the ______________.
  • the combined effect of the independent variables on the dependent variable
  • interaction effect of the independent variables and their effect on the dependent variable
  • the effect of each independent variable on the dependent variable
  • interaction of the independent variables
Q19 | You have carried out a Kruskal-Wallis test. There are significant differences between thethree groups you are testing. How might you conduct your pair wise comparisons?
  • Use the Mann Whitney test
  • Use the Wilcox on test
  • Use a t-test
  • None of the above. Post hoc analyses cannot be carried out with non parametric data
Q20 | A 2 X 2 factorial
  • Is essentially two designs that have been combined into a single study.
  • Contains four factors.
  • Does not have enough factors to show interactions.
  • Is extremely difficult to interpret if interactions are found.
Q21 | In factorial designs, the number of times a condition is noted is called:
  • Randomization
  • Factorization
  • Replication
  • None of These
Q22 | A factorial design is one in ______________
  • Only one independent variable is studied to determine its effect on the dependent variable
  • Only two independent variables are simultaneously studied to determine their independent and interactive effects on the dependent variables
  • Two or more independent variables are simultaneously studied to determine their independent and interactive effects on the dependent variable
  • Two dependent variables are studied to determine their interactive effects
Q23 | What is the Interaction between memory and cache (MIPS)?
  • 40
  • 20
  • 10
  • 5
Q24 | A researcher is conducting a 3 x 2 factorial experiment. In variable 1 participants are randomly assigned to one of 3 conditions. In variable 2 participants respond to both levels of the independent variable. Which of the following best describes this study?
  • it is an independent groups design
  • it is a repeated measures group design
  • it is a mixed factorial design
  • it is a simple main effect design
Q25 | Dr. AB is conducting a 2 x 3 factorial experiment. He is interested in the impact of college major and study method on exam performance. He found that study method effected exam performance regardless of the participants' major. Which of the following is true?
  • Dr. AB found a main effect for study method.
  • Dr. AB found a main effect for college major.
  • Dr. AB found a significant interaction between college major and study method.
  • There is not enough information provided to answer this question.