Question 1
Question
For an experiment comparing more than two treatment conditions you should use analysis of variance rather than separate ttests because:
Answer

You are less likely to make a mistake in the computations of ANOVA

A test based on variance is more sensitive than a test based on means

ANOVA has less risk of a Type I error because several means are compared in one test

ANOVA has less risk of a Type II error because several means are compared in one test
Question 2
Question
The null hypothesis for an ANOVA states that
Answer

There are no differences between any of the population means

At least one of the population means is different from the others

All the population means are different from each other

None of the other 3 choices are correct
Question 3
Question
When the null hypothesis is true for ANOVA, what is the expected value for the Fratio?
Question 4
Question
In analysis of variance, the Fratio is a ratio of:
Answer

Two (or more) sample means

Two variances

Sample means divided by sample variances

None of the other 3 choices are correct
Question 5
Question
In an ANOVA, which of the following is most likely to produce a large value for he Fratio?
Answer

Large mean differences and small sample variances

Large mean differences and large sample variances

Small mean differences and small sample variances

Small mean differences and large sample variances
Question 6
Question
For an independentmeasures experiment comparing two treatment conditions with a sample of n= 10 in each treatment, the Fratio would have to have df equal to:
Question 7
Question
A researcher uses analysis of variance to test for mean differences among four treatments with a sample of n=6 in each treatment. The Fratio for this analysis would have what df values?
Answer

df= 3,5

df= 3,15

df= 3,20

df= 4, 24
Question 8
Question
A researcher reports an Fratio with df= 3,36 for an independentmeasures experiment. How many treatment conditions were compared in this experiment?
Question 9
Question
A researcher reports an Fratio with df= 3,36 for an independentmeasures experiment. How many individual subjects participated in the experiment?
Question 10
Question
A factor experiment means that the experimental design includes:
Answer

Two independent variables

Two dependent variables

An interaction between the independent and the dependent variable

Exactly two separate groups of subjects
Question 11
Question
In a twofactor analysis of variance a main effect is defined as:
Answer

The mean differences among the levels of one factor

The mean differences among all treatment conditions

The mean differences between the two factors

The difference between the largest treatment mean and the smallest treatment mean
Question 12
Question
The results from a 2way ANOVA show that both main effects are significant. We can conclude:
Answer

That the interaction also must be significant

That the interaction cannot be significant

There must be an interaction but it may not be statistically significant

You can make no conclusions about the significance of the interaction
Question 13
Question
Prior to introducing a new cake mix to the public, a food company wishes to determine the combination of baking temperature and baking time that will result in the best tasting cake. In their experiment, cakes made from the new cake mix are baked at 325 degrees F, 350 degrees F, and 400 degrees F for 50 minutes, 60 minutes, 70 minutes and 80 minutes. Taste is rated for each combination of baking temperature and baking time. How many treatments are in the experiment?
Question 14
Question
In two way ANOVA what should you always look at first?
Answer

The significance of factor 1

The significance of factor 2

The interaction between factors 1 and 2

None of the above
Question 15
Question
To test for an interaction effect the statistic should be:
Answer

One way ANOVA

Two way ANOVA

Two way chisquared

None of the above
Question 16
Question
A researcher wants to test the differences between three treatment conditions (cognitivebehavioural therapy, aversion therapy and behavioural therapy) by assigning individuals randomly to one of the three conditions. The researcher would need to perform which of the following tests to analyse the results?
Question 17
Question
THe one way ANOVA is used to test hypothesis concerning:
Answer

Means tests

Standard deviation

Mean squares

Variance
Question 18
Question
ANOVA assumes that the data to be analysed:
Answer

Has a normal distribution

That the data is interval

The variances in the groups are similar

All of the above
Question 19
Question
One way ANOVA should be used when:
Answer

We want to compare the means of 1 variable from 2 groups

We want to compare the means of 2 variables within 2 groups

We want to compare 1 variable from more than 2 groups

None of these options are correction
Question 20
Question
Which of the following is incorrect in relation to ANOVA:
Answer

ANOVA is relatively robust to small numbers of participants

ANOVA is relatively robust to unequal numbers of scores in different conditions

ANOVA relatively robust to skewed data

All of the above
Question 21
Question
ANOVA evaluates how likely it is that any differences in conditions is due to:
Answer

Sampling

Homogeneity of variance

Normal distributions

The IV
Question 22
Question
ANOVA evaluates how likely it is that any differences in conditions is due to:
Answer

Sampling

Homogeneity of variance

Normal distributions

The IV
Question 23
Question
In a study which investigates the differences in contents among 3 different brands of cigarettes an ANOVA was performed which yielded a small p value. Which of the following is correct:
Answer

Because the p value is small there is evidence that all the brands differ from each other in the mean amount of tar present.

Because the p value is small, there is no evidence than any of the brands differ in the mean tar content from the other brands.

Because the p value us small, there is evidence that at least one brand has a different mean tar content from the other brands.

Because the p value is small, there is evidence that all brands have the same men tar content.
Question 24
Question
A large F ratio means:
Answer

more likelihood the variance is causes by the IV

Less likelihood the variance is caused by the IV

The sample size used was small

The error variance was larger than the IV variance

B and D
Question 25
Question
For ANOVA the null hypothesis states:
Answer

For the individuals in the sample there is no consistent difference between treatments

For the individuals in the population there is no consistent difference between the treatments

For the individuals in the sample there is a consistent difference between the treatments

For the individuals in the sample there is a consistent difference between treatments
Question 26
Question
If the null hypothesis is true you expect:
Question 27
Question
The degrees of freedom for the F test in a one way ANOVA are:
Answer

(nc) and (c1)

(c1) and (nc)

(cn) and (n1)

(n1) and (cn)
Question 28
Question
In a one way ANOVA:
Question 29
Question
When carrying out an analysis, if the variance due to the IV is greater than the error variance, what does this mean?
Answer

An error in calculation was made

There should have been additional controls in the experiment

That there is a consistent difference between treatments

That there is no consistent difference between treatments
Question 30
Question
What do we call the overall effect of an IV on a DV:
Answer

Main effect

Indirect effect

Interaction effect

Direct effect
Question 31
Question
When the betweengroups variance is a lot larger than the withingroups varience, the Fvalue is _____ and the likelihood of such a result occurring by sampling error _____.
Answer

Large, decreases

Small, decreases

Large, increases

Small, increases