Total Quality Management Online MCQ Set 13

QN01. 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?

  1. it is an independent groups design
  2. it is a repeated measures group design
  3. it is a mixed factorial design
  4. it is a simple main effect design
Answer

(C)it is a mixed factorial design

QN02. 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?

  1. Dr. AB found a main effect for study method.
  2. Dr. AB found a main effect for college major.
  3. Dr. AB found a significant interaction between college major and study method.
  4. There is not enough information provided to answer this question.
Answer

(A)Dr. AB found a main effect for study method.

QN03. What is the value at the position of (III)?

  1. 0.04
  2. 0.85
  3. 0.15
  4. 0.033
Answer

(B)0.85

QN04. What are residuals?

  1. Residuals are the differences between the observed and expected dependent variable scores
  2. Serendipitous findings
  3. Extreme scores
  4. Uncontrolled variables
Answer

(A)Residuals are the differences between the observed and expected dependent variable scores

QN05. Which of the following statement is true?

  1. Only factor A is significant; factor B and the two-factor interaction are not significant.
  2. Only factor B is significant; factor A and the two-factor interaction are not significant.
  3. Only the two-factor interaction is significant; factor A and factor B are not significant.
  4. Factor A and factor B is significant; the two-factor interaction is not significant.
Answer

(B)Only factor B is significant; factor A and the two-factor interaction are not significant.

QN06. What is the purpose of a simple linear regression?

  1. To predict scores on a dependent variable from scores on a single independent variable
  2. To predict scores on an independent variable from scores on a single dependent variable
  3. To predict scores on an independent variable from scores on multiple dependent variables
  4. To predict scores on a dependent variable from scores on multiple independent variables
Answer

(A)To predict scores on a dependent variable from scores on a single independent variable

QN07. An unbiased dice is rolled once. The probability of getting a number greater than 4 is:

  1. 1/4
  2. 1/6
  3. 1/2
  4. 1/3
Answer

(D)1/3

QN08. Attribute charts may be used when:

  1. Several characteristics can be jointly measured
  2. When one particular quality characteristic is of importance
  3. Specific information like process mean is required
  4. None of these
Answer

(A)Several characteristics can be jointly measured

QN09. Two events, A and B, are said to be mutually exclusive if:

  1. P(A | B) = 1
  2. P(B | A) = 1
  3. P(A ∩ B) = 1
  4. P(A ∩ B) = 0
Answer

(D)P(A ∩ B) = 0

QN10. 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?

  1. -3.75
  2. -2.50
  3. -0.83
  4. 2.50
Answer

(D)-2.50

QN11. In hypothesis testing, a Type 2 error occurs when

  1. The null hypothesis is not rejected when the null hypothesis is true.
  2. The null hypothesis is rejected when the null hypothesis is true.
  3. The null hypothesis is not rejected when the alternative hypothesis is true.
  4. The null hypothesis is rejected when the alternative hypothesis is true.
Answer

(C)The null hypothesis is not rejected when the alternative hypothesis is true.

QN12. Student's t-statistic is applicable in case of:

  1. Equal number of samples
  2. Unequal number of samples
  3. Small samples
  4. All of the above
Answer

(D)All of the above

QN13. Which of the following assumptions must be met to use an ANOVA?

  1. There is only one dependent variable
  2. The data must be normally distributed
  3. There is homogeneity of variance
  4. All of these
Answer

(D)All of these

QN14. Which of the following is an assumption of one-way ANOVA comparing samples from three'or more experimental treatments?

  1. All the response variables within the k populations follow Normal distributions.
  2. The samples associated with each population are randomly selected and are independent from all other samples.
  3. The response variable within each of the k populations has equal variances.
  4. All of the above.
Answer

(D)All of the above.

QN15. When conducting a one-way ANOVA, the ______________ the between-treatment variability is when compared to the within-treatment variability, the ______________ the F-Value calculated from the data will tend to be.

  1. smaller, larger
  2. smaller, smaller
  3. larger, larger
  4. smaller, larger
Answer

(B)smaller, smaller

QN16. 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?

  1. The degrees of freedom associated with the error term has increased
  2. The degrees of freedom associated with the treatment term has increased
  3. The Residual Sum of Squares (SSE) has decreased
  4. The F-Value calculated from the data (F-Value) has changed
Answer

(B)The degrees of freedom associated with the treatment term has increased

QN17. In the two-factor, between subjects (or two-way) ANOVA:

  1. the three F tests always have the same power to reject the null hypothesis.
  2. the test for an interaction always has more power than the test for a main effect.
  3. the power of the F test is not necessarily increased by having larger samples.
  4. the three F tests do not always have the same power to reject the null hypothesis.
Answer

(D)the three F tests do not always have the same power to reject the null hypothesis.

QN18. A ______________ effect(s) analysis examines mean differences at each level of the independent variable.

  1. main
  2. simple main
  3. interaction
  4. simple interaction
Answer

(B)simple main

QN19. Factorial designs allow us to study both ______________ effects of the independent variables on the dependent variables.

  1. main and interactive
  2. dependent and independent
  3. symbiotic and dichotomous
  4. rank order and correlation
Answer

(A)main and interactive

QN20. 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

QN21. Consider two factors A and B, each with two levels. If there is no interaction between these two 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.

  1. unrelated to
  2. equal to
  3. half
  4. twice
Answer

(B)equal to

QN22. Dr. RNS conducted a ______________ factorial design to examine the effects of music and room 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. 1 x 2
  2. 2 x 4
  3. 2 x 2
  4. 4 x 4
Answer

(B)2 x 2

QN23. In factorial designs, the response produced when the treatments of one factor interact with the treatments of another in influencing the response variable is known as

  1. the main effect
  2. interaction
  3. replication
  4. none of these
Answer

(B)interaction

QN24. What is the Variation due to Cache?

  1. 84%
  2. 76%
  3. 19%
  4. 5%
Answer

(C)19%

QN25. A three-way interaction is said to occur when:

  1. All three possible two-way interactions, plus main effects of all three factors, are present in the data
  2. There are simple main effects of each factor at every level of either of the other two factors
  3. The simple interactions between two factors are not homogeneous across all levels of the third factor
  4. All three possible two-way interactions are present in the data
Answer

(C)The simple interactions between two factors are not homogeneous across all levels of the third factor

QN26. What is the value at the position of (V)?

  1. 0.85
  2. 0.15
  3. 0.97
  4. 0.33
Answer

(D)0.33

QN27. The standard error of regression is

  1. the square root of the variance of the error term
  2. an estimate of the square root of the variance of the error term
  3. the square root of the variance of the dependent variable
  4. the square root of the variance of the predictions of the dependent variable
Answer

(D)the square root of the variance of the predictions of the dependent variable

QN28. What is the purpose of a multiple regression?

  1. To predict scores on a dependent variable from scores on a single independent variable
  2. To predict scores on an independent variable from scores on a single dependent variable
  3. To predict scores on an independent variable from scores on multiple dependent variables
  4. To predict scores on a dependent variable from scores on multiple independent variables
Answer

(C)To predict scores on a dependent variable from scores on multiple independent variables

QN29. A ______________ chart can be used to identify the most frequently occurring defect.

  1. Pareto
  2. Ishikawa
  3. Histogram
  4. Scatter
Answer

(A)Pareto

QN30. Two events, A and B, are said to be independent if:

  1. P(A ∩ B) = P(A).P(B)
  2. P(A ∩ B) = P(A) + P(B)
  3. P(A | B) = P(B)
  4. P(B | A) = P(A)
Answer

(A)P(A ∩ B) = P(A).P(B)

QN31. The value of E[X] is:

  1. 52/18
  2. 28/9
  3. 52/9
  4. 28/18
Answer

(C)52/9

QN32. A null hypothesis is rejected if the value of a test statistic lies in the:

  1. Rejection region
  2. Acceptance region
  3. Both (a) and (b)
  4. Neither (a) nor (b)
Answer

(A)Rejection region

QN33. The chi-square goodness-of-fit test can be used to test for:

  1. significance of sample statistics
  2. difference between population means
  3. normality
  4. probability
Answer

(C)normality

QN34. What do ANOVA calculate?

  1. Z-scores
  2. F ratios
  3. Chi square
  4. T-scores
Answer

(B)F ratios

QN35. To determine whether the test statistic of ANOVA is statistically significant, it can be compared to a critical value. What two pieces of information are needed to determine the critical value?

  1. Sample size, number of groups
  2. Mean, sample standard deviation
  3. Expected frequency, obtained frequency
  4. MSTR The treatment mean square (MSTR), Mean Square Error (MSE)
Answer

(A)Sample size, number of groups

QN36. 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:

  1. the correlation coefficient
  2. chi square
  3. the t-test
  4. the analysis of variance
Answer

(D)the analysis of variance

QN37. If the F-Value calculated from the data is 0.9, the result is statistically significant

  1. Always
  2. Sometimes
  3. Never
  4. Illogical Question
Answer

(C)Never

QN38. Which statement is true of an experiment of factorial design?

  1. Independence or orthogonality is unaffected by the sizes of the participant samples in the various treatment combinations.
  2. There are always at least two control groups.
  3. Control over an independent variable is achieved by orthogonal variation with respect to the other independent variables.
  4. There is always a single control group.
Answer

(C)Control over an independent variable is achieved by orthogonal variation with respect to the other independent variables.

QN39. What would the levels of the independent variables be for a two-way ANOVA investigating the effect of four different treatments for depression and gender?

  1. 4 and 1
  2. 2
  3. 4 and 2
  4. 6
Answer

(C)4 and 2

QN40. In ANOVA, a factor is defined as the:

  1. dependent variable.
  2. independent variable.
  3. Both (a) and (b)
  4. None of these
Answer

(A)independent variable.

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