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This set of Total Quality Management TQM Multiple Choice Questions & Answers (MCQs) focuses on Total Quality Management Set 12

Q1 | What is the value at the position of (III)?
  • 0.04
  • 0.85
  • 0.15
  • 0.033
Q2 | What are residuals?
  • Residuals are the differences between the observed and expected dependent variable scores
  • Serendipitous findings
  • Extreme scores
  • Uncontrolled variables
Q3 | An unbiased dice is rolled once. The probability of getting a number greater than 4 is:
  • 1/4
  • 1/6
  • 1/2
  • 1/3
Q4 | Which of the following statement is true?
  • Only factor A is significant; factor B and the two-factor interaction are not significant.
  • Only factor B is significant; factor A and the two-factor interaction are not significant.
  • Only the two-factor interaction is significant; factor A and factor B are not significant.
  • Factor A and factor B is significant; the two-factor interaction is not significant.
Q5 | What is the purpose of a simple linear regression?
  • To predict scores on a dependent variable from scores on a single independent variable
  • To predict scores on an independent variable from scores on a single dependent variable
  • To predict scores on an independent variable from scores on multiple dependent variables
  • To predict scores on a dependent variable from scores on multiple independent variables
Q6 | Attribute charts may be used when:
  • Several characteristics can be jointly measured
  • When one particular quality characteristic is of importance
  • Specific information like process mean is required
  • None of these
Q7 | Assume the cholesterol levels in a certain population have mean μ = 200 and standard deviation σ = 24. The cholesterol levels for a random sample of n = 9 individuals are measured and the sample mean x-bar is determined. What is the z-score for a sample mean x = 180?
  • -3.75
  • -2.50
  • -0.83
  • 2.50
Q8 | In hypothesis testing, a Type 2 error occurs when
  • The null hypothesis is not rejected when the null hypothesis is true.
  • The null hypothesis is rejected when the null hypothesis is true.
  • The null hypothesis is not rejected when the alternative hypothesis is true.
  • The null hypothesis is rejected when the alternative hypothesis is true.
Q9 | Student's t-statistic is applicable in case of:
  • Equal number of samples
  • Unequal number of samples
  • Small samples
  • All of the above
Q10 | Which of the following assumptions must be met to use an ANOVA?
  • There is only one dependent variable
  • The data must be normally distributed
  • There is homogeneity of variance
  • All of these
Q11 | Which of the following is an assumption of one-way ANOVA comparing samples fromthree ‘or more experimental treatments?
  • All the response variables within the k populations follow Normal distributions.
  • The samples associated with each population are randomly selected and are independent from all other samples.
  • The response variable within each of the k populations has equal variances.
  • All of the above.
Q12 | When conducting a one-way ANOVA, the ______________ the between-treatmentvariability is when compared to the within-treatment variability, the ______________ the FValue calculated from the data will tend to be.
  • smaller, larger
  • smaller, smaller
  • larger, larger
  • smaller, larger
Q13 | You carried out an ANOVA on a preliminary sample of data. You then collected additional data from the same groups; the difference being that the sample sizes for each group were increased by a factor of 10, and the within-group variability has decreased substantially. Which of the following statements is NOT correct?
  • The degrees of freedom associated with the error term has increased
  • The degrees of freedom associated with the treatment term has increased
  • The Residual Sum of Squares (SSE) has decreased
  • The F-Value calculated from the data (F-Value) has changed
Q14 | In the two-factor, between subjects (or two-way) ANOVA:
  • The three F tests always have the same power to reject the null hypothesis.
  • The test for an interaction always has more power than the test for a main effect.
  • The power of the F test is not necessarily increased by having larger samples.
  • The three F tests do not always have the same power to reject the null hypothesis.
Q15 | A ______________ effect(s) analysis examines mean differences at each level of theindependent variable.
  • main
  • simple main
  • interaction
  • simple interaction
Q16 | Factorial designs allow us to study both ______________ effects of the independentvariables on the dependent variables.
  • main and interactive
  • dependent and independent
  • symbiotic and dichotomous
  • rank order and correlation
Q17 | 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?
  • 15
  • 30
  • 45
  • 60
Q18 | Consider two factors A and B, each with two levels. If there is no interaction between thesetwo factors, the difference in the response variable between the two levels of factor A would be ______________ the difference between the two levels of factor B.
  • unrelated to
  • equal to
  • half
  • twice
Q19 | Dr. RNS conducted a ______________ factorial design to examine the effects of music androom temperature on participant's memory. Participants were randomly assigned to study a list of nonsense words either listening or not listening to music in either a warm or cold room.
  • 1 x 2
  • 2 x 4
  • 2 x 2
  • 4 x 4
Q20 | In factorial designs, the response produced when the treatments of one factor interact withthe treatments of another in influencing the response variable is known as
  • the main effect
  • interaction
  • replication
  • none of these
Q21 | What is the Variation due to Cache?
  • 84%
  • 76%
  • 19%
  • 5%
Q22 | What is the value at the position of (V)?
  • 0.85
  • 0.15
  • 0.97
  • 0.33
Q23 | The standard error of regression is
  • the square root of the variance of the error term
  • an estimate of the square root of the variance of the error term
  • the square root of the variance of the dependent variable
  • the square root of the variance of the predictions of the dependent variable
Q24 | What is the purpose of a multiple regression?
  • To predict scores on a dependent variable from scores on a single independent variable
  • To predict scores on an independent variable from scores on a single dependent variable
  • To predict scores on an independent variable from scores on multiple dependent variables
  • To predict scores on a dependent variable from scores on multiple independent variables
Q25 | The value of E[X] is:
  • 52/18
  • 28/9
  • 52/9
  • 28/18