Total Quality Management Set 13

Mechanical Engineering,

Electronics and Communication Engineering

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This set of Total Quality Management TQM Multiple Choice Questions & Answers (MCQs) focuses on Total Quality Management Set 13

Q1 | A null hypothesis is rejected if the value of a test statistic lies in the:
  • Rejection region
  • Acceptance region
  • Both (a) and (b)
  • Neither (a) nor (b)
Answer: Rejection region
Q2 | The chi-square goodness-of-fit test can be used to test for:
  • significance of sample statistics
  • difference between population means
  • normality
  • probability
Answer: normality
Q3 | What do ANOVA calculate?
  • Z-scores
  • F ratios
  • Chi square
  • T-scores
Answer: F ratios
Q4 | To determine whether the test statistic of ANOVA is statistically significant, it can becompared to a critical value. What two pieces of information are needed to determine the critical value?
  • Sample size, number of groups
  • Mean, sample standard deviation
  • Expected frequency, obtained frequency
  • MSTR The treatment mean square (MSTR), Mean Square Error (MSE)
Answer: Sample size, number of groups
Q5 | In a study, subjects are randomly assigned to one of three groups: control, experimental A,or experimental B. After treatment, the mean scores for the three groups are compared. The appropriate statistical test for comparing these means is:
  • the correlation coefficient
  • chi square
  • the t-test
  • the analysis of variance
Answer: the analysis of variance
Q6 | If the F-Value calculated from the data is 0.9, the result is statistically significant
  • Always
  • Sometimes
  • Never
  • Illogical Question
Answer: Never
Q7 | Which statement is true of an experiment of factorial design?
  • Independence or orthogonality is unaffected by the sizes of the participant samples in the various treatment combinations.
  • There are always at least two control groups.
  • Control over an independent variable is achieved by orthogonal variation with respect to the other independent variables.
  • There is always a single control group.
Answer: Control over an independent variable is achieved by orthogonal variation with respect to the other independent variables.
Q8 | What would the levels of the independent variables be for a two-way ANOVA investigatingthe effect of four different treatments for depression and gender?
  • 4 and 1
  • 2
  • 4 and 2
  • 6
Answer: 4 and 2
Q9 | In ANOVA, a factor is defined as the:
  • Dependent variable.
  • Independent variable.
  • Both (a) and (b)
  • None of these
Answer: Dependent variable.
Q10 | A 2 X 2 factorial design
  • Is called a one-way ANOVA.
  • Results in a four-cell matrix.
  • Cannot yield interactions.
  • Must include an organism independent variable.
Answer: Results in a four-cell matrix.
Q11 | Which of the following distributions is suitable to model the length of time that elapsesbefore the first employee passes through the security door of a company?
  • Exponential
  • Normal
  • Poisson
  • Binomial
Answer: Exponential
Q12 | Smaller p-values indicate more evidence in support of:
  • the null hypothesis
  • the alternative hypothesis
  • the quality of the researcher
  • further testing
Answer: the alternative hypothesis
Q13 | Analysis of variance is a statistical method of comparing the ______________ of severalpopulations.
  • standard deviations
  • variances
  • means
  • proportions
Answer: means
Q14 | If the Mean Square Error MSE of an ANOVA for six treatment groups is known, you cancompute
  • degrees of freedom, df1
  • the standard deviation of each treatment group
  • the pooled standard deviation
  • all answers are correct
Answer: the pooled standard deviation
Q15 | In a study, subjects are randomly assigned to one of three groups: control, experimental A, or experimental B. After treatment, the mean scores for the three groups are compared. The appropriate statistical test for comparing these means is:
  • the correlation coefficient
  • chi square
  • the t-test
  • the analysis of variance
Answer: the analysis of variance
Q16 | If the F-Value calculated from the data is 5.0, the result is statistically significant
  • Always
  • Sometimes
  • Never
  • Illogical Question
Answer: Sometimes
Q17 | What is the Effect of Memory (MIPS)?
  • 40
  • 20
  • 10
  • 5
Answer: 20
Q18 | Which of these characterizes a factorial design?
  • One in which there is a single independent variable.
  • One in which there is more than one independent variable
  • One in which the researcher wants to investigate the interactions between variables
  • Both B and C
Answer: Both B and C
Q19 | What statistic is used to check the significance of the Kruskal-Wallis test?
  • Mean rank
  • Partial
  • t-value
  • Chi squared
Answer: Chi squared
Q20 | What is the appropriate statistical test for a factorial design?
  • the Modes test
  • ANOVA
  • t-test
  • chi-square
Answer: ANOVA
Q21 | Give the F test for the interaction effect of factors A and B.
  • F = (SSABB )/MSE
  • F = (SSA)/MSE + (SSB)/MSE
  • F = (MSA)/MSE + (MSB)/MSE
  • F = (MSAB)/MSE
Answer: F = (MSAB)/MSE
Q22 | The Kruskal-Wallis is based upon the ______________ test.
  • Pearson's r
  • Wilcoxon
  • Mann Whitney
  • Friedman
Answer: Mann Whitney
Q23 | In a factorial experiments, we
  • test one factor at a time
  • cannot estimate interactions
  • test all possible combination of factor levels are tested
  • all of these
Answer: test all possible combination of factor levels are tested
Q24 | What is the Variation due to Memory?
  • 84%
  • 76%
  • 19%
  • 5%
Answer: 76%
Q25 | In a factorial design, a(an) ______________ between independent variables indicates thatthe effect of one independent variable is different at different levels of the other independent variable.
  • main effect
  • factorial effect
  • interaction
  • moderation
Answer: interaction
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