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.

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

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).

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

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

1.standard deviations

2.variances

3.means

4.proportions

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

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

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

How many replicates of the experiment were performed?

1.1 Replicate

2.2 Replicates

3.3 Replicates

4.4 Replicates

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

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

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

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

4.all answers are correct

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

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

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

In ANOVA, a factor is defined as the:

1.dependent variable.

2.independent variable.

3.Both (a) and (b)

4.None of these

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

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

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

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

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

The critical path method determines the ______ path from the beginning to the end of the project.

1.Shortest

2.Quickest

3.Longest

4.Middle

The discrete random variable X has the probability function (k is a constant): Answer question 8 - 10 based on the information given above. The value of k is:

1.1 point

2.1/18

3.1/12

4.1/6

The Kruskal-Wallis is based upon the _______ test.

1.Pearson's r

2.Wilcoxon

3.Mann Whitney

4.Friedman

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

The value of E[X] is:

1.52/18

2.28/9

3.52/9

4.28/18

The value of E[X] is:

1.52/18

2.28/9

3.52/9

4.28/18

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)

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

1.P(A âˆ© B) = P(A).P(B)

2.P(A âˆ© B) = P(A) + P(B)

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

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

What do ANOVA calculate?

1.Z-scores

2.F ratios

3.Chi square

4.T-scores

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

What is the appropriate statistical test for a factorial design?

1.the Modes test

2.ANOVA

3.t-test

4.chi-square

What is the Effect of Memory (MIPS)?

1.40

2.20

3.10

4.5

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

What is the Sum of Squares of the interaction (AB)?

1.6.075

2.39.48

3.7.19

4.3.89

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

1.0.85

2.0.15

3.0.97

4.0.33

What is the Variation due to Cache?

1.84%

2.76%

3.19%

4.5%

What is the Variation due to Memory?

1.84%

2.76%

3.19%

4.5%

What statistic is used to check the significance of the Kruskal-Wallis test?

1.Mean rank

2.Partial

3.t-value

4.Chi squared

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.

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

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.

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.

Which of the following distributions is suitable to model the length of time that elapses before the first employee passes through the security door of a company?

1.Exponential

2.Normal

3.Poisson

4.Binomial

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

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

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.

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

_________ designs are research designs with more than one independent variable.

1.Simple

2.Monotonic

3.Factorial

4.Multi

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