MBA/MBA Total Quality Management Mcq Set 5 Sample Test,Sample questions

Question: `A 2 X 2 factorial design`

1.is called a one-way ANOVA.

2.results in a four-cell matrix.

3.cannot yield interactions.

4.must include an organismic independent variable.

Question: `A larger standard deviation for a normal distribution with an unchanged mean indicates that'the distribution becomes:`

1.narrower and more peaked

2.flatter and wider

3.more skewed to the right or left

4.a change in the standard deviation does not change the shape of the distribution

Question: `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).

Question: `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

Question: `Analysis of variance is a statistical method of comparing the _______ of several populations.`

1.standard deviations

2.variances

3.means

4.proportions

1.unrelated to

2.equal to

3.half

4.twice

1.1 x 2

2.2 x 4

3.2 x 2

4.4 x 4

Question: `Give the F test for the interaction effect of factors A and B.`

1.F = (SSABB )/MSE

2.F = (SSA)/MSE + (SSB)/MSE

3.F = (MSA)/MSE + (MSB)/MSE

4.F = (MSAB)/MSE

1.1 Replicate

2.2 Replicates

3.3 Replicates

4.4 Replicates

Question: `How would an interaction be indicated in a line graph? 2/5`

1.as parallel lines

2.as intersecting lines

3.as overlapping lines

4.as diagonal lines

Question: `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

Question: `If the F-Value calculated from the data is 5.0, the result is statistically significant`

1.Always

2.Sometimes

3.Never

4.Illogical Question

Question: `If the Mean Square Error MSE of an ANOVA for six treatment groups is known, you can compute`

1.degrees of freedom, df1

2.the standard deviation of each treatment group

3.the pooled standard deviation

Question: `In a factorial design, a(an) ______________ between independent variables indicates that the effect of one independent variable is different at different levels of the other independent variable.`

1.main effect

2.factorial effect

3.interaction

4.moderation

Question: `In a factorial experiments, we`

1.test one factor at a time

2.cannot estimate interactions

3.test all possible combination of factor levels are tested

4.All of these

Question: `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

Question: `In ANOVA, a factor is defined as the:`

1.dependent variable.

2.independent variable.

3.Both (a) and (b)

4.None of these

Question: `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

Question: `Scatter diagrams show the relationship between:`

1.Two variables

2.The dependent variable along the y axis

3.The dependent variable along the x axis

4.None of these

Question: `Smaller p-values indicate more evidence in support of:`

1.the null hypothesis

2.the alternative hypothesis

3.the quality of the researcher

4.further testing

Question: `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

Question: `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

1.Shortest

2.Quickest

3.Longest

4.Middle

1.1 point

2.1/18

3.1/12

4.1/6

1.Pearson's r

2.Wilcoxon

3.Mann Whitney

4.Friedman

Question: `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

1.52/18

2.28/9

3.52/9

4.28/18

1.52/18

2.28/9

3.52/9

4.28/18

Question: `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)

Question: `Two events, A and B, are said to be independent if:`

2.P(A âˆ© B) = P(A) + P(B)

3.P(A | B) = P(B)

4.P(B | A) = P(A)

1.Z-scores

2.F ratios

3.Chi square

4.T-scores

Question: `What does a beta of 0.478 mean?`

1.That the relationship between the independent and dependent variables is not linear

2.That the regression is not significant

3.That the correlation is significant

4.This means that for every unit increase in your independent variable, your dependent variable increases by 0.478 units

1.the Modes test

2.ANOVA

3.t-test

4.chi-square

1.40

2.20

3.10

4.5

Question: `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

1.6.075

2.39.48

3.7.19

4.3.89

1.0.85

2.0.15

3.0.97

4.0.33

1.84%

2.76%

3.19%

4.5%

1.84%

2.76%

3.19%

4.5%

1.Mean rank

2.Partial

3.t-value

4.Chi squared

Question: `What statistical procedure is used to assess the statistical significance of the main effects and the interaction(s) in a factorial design?`

1.t-test

2.correlation

3.analysis of covariance

4.analysis of variance.

1.4 and 1

2.2

3.4 and 2

4.6

Question: `When the k population means are truly different from each other, it is likely that the average error deviation:`

1.is relatively large compared to the average treatment deviations.

2.is relatively small compared to the average treatment deviations.

3.is about equal to the average treatment deviation.

4.differ significantly between at least two of the populations.

Question: `Which of the following definitions is correct?`

1.An activity, which results in an outcome, is called an event.

2.The probability of an event is expressed in decimal form ranging from -1 to +1.

3.The sample space refers to all possible outcomes of an experiment.

4.The probability that an event will occur is called the experiment.

1.Exponential

2.Normal

3.Poisson

4.Binomial

Question: `Which of the following points are not true when conducting a multiple regression?`

1.Multiple regression can be used to assess quadratic relationships

2.Data must be homogeneous for a multiple regression

3.Data must be normally distributed for multiple regression

4.Multiple regression can be used to assess linear relationships

Question: `Which of these characterizes a factorial design?`

1.One in which there is a single independent variable.

2.One in which there is more than one independent variable

3.One in which the researcher wants to investigate the interactions between variables

4.Both B and C

Question: `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.

Question: `You conduct a hypothesis test and you observe values for the sample mean and sample standard deviation when n = 25 that do not lead to the rejection of Ho (null hypothesis). You calculate a p-value of 0.0667. What will happen to the p-value if you observe the same sample mean and standard deviation for a sample n>25?`

1.Increase

2.Decrease

3.Stay the same

4.May either increase or decrease

1.Simple

2.Monotonic

3.Factorial

4.Multi

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