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Quiz von Charlotte Joseph, aktualisiert more than 1 year ago
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Erstellt von Charlotte Joseph
vor mehr als 10 Jahre
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Frage 1
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For an experiment comparing more than two treatment conditions you should use analysis of variance rather than separate t-tests because:
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You are less likely to make a mistake in the computations of ANOVA
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A test based on variance is more sensitive than a test based on means
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ANOVA has less risk of a Type I error because several means are compared in one test
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ANOVA has less risk of a Type II error because several means are compared in one test
Frage 2
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The null hypothesis for an ANOVA states that
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There are no differences between any of the population means
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At least one of the population means is different from the others
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All the population means are different from each other
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None of the other 3 choices are correct
Frage 3
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When the null hypothesis is true for ANOVA, what is the expected value for the F-ratio?
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0
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1.00
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k-1
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N-k
Frage 4
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In analysis of variance, the F-ratio is a ratio of:
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Two (or more) sample means
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Two variances
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Sample means divided by sample variances
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None of the other 3 choices are correct
Frage 5
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In an ANOVA, which of the following is most likely to produce a large value for he F-ratio?
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Large mean differences and small sample variances
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Large mean differences and large sample variances
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Small mean differences and small sample variances
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Small mean differences and large sample variances
Frage 6
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For an independent-measures experiment comparing two treatment conditions with a sample of n= 10 in each treatment, the F-ratio would have to have df equal to:
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18
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19
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1, 18
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1, 19
Frage 7
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A researcher uses analysis of variance to test for mean differences among four treatments with a sample of n=6 in each treatment. The F-ratio for this analysis would have what df values?
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df= 3,5
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df= 3,15
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df= 3,20
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df= 4, 24
Frage 8
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A researcher reports an F-ratio with df= 3,36 for an independent-measures experiment. How many treatment conditions were compared in this experiment?
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3
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4
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36
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39
Frage 9
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A researcher reports an F-ratio with df= 3,36 for an independent-measures experiment. How many individual subjects participated in the experiment?
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36
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39
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40
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Cannot be determined from the information given
Frage 10
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A factor experiment means that the experimental design includes:
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Two independent variables
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Two dependent variables
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An interaction between the independent and the dependent variable
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Exactly two separate groups of subjects
Frage 11
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In a two-factor analysis of variance a main effect is defined as:
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The mean differences among the levels of one factor
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The mean differences among all treatment conditions
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The mean differences between the two factors
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The difference between the largest treatment mean and the smallest treatment mean
Frage 12
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The results from a 2-way ANOVA show that both main effects are significant. We can conclude:
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That the interaction also must be significant
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That the interaction cannot be significant
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There must be an interaction but it may not be statistically significant
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You can make no conclusions about the significance of the interaction
Frage 13
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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?
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12
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3
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4
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7
Frage 14
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In two way ANOVA what should you always look at first?
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The significance of factor 1
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The significance of factor 2
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The interaction between factors 1 and 2
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None of the above
Frage 15
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To test for an interaction effect the statistic should be:
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One way ANOVA
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Two way ANOVA
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Two way chi-squared
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None of the above
Frage 16
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A researcher wants to test the differences between three treatment conditions (cognitive-behavioural 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?
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Repeated measures ANOVA
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Fisher's exact probability test
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One-way between groups ANOVA
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Pearsons r
Frage 17
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THe one way ANOVA is used to test hypothesis concerning:
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Means tests
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Standard deviation
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Mean squares
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Variance
Frage 18
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ANOVA assumes that the data to be analysed:
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Has a normal distribution
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That the data is interval
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The variances in the groups are similar
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All of the above
Frage 19
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One way ANOVA should be used when:
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We want to compare the means of 1 variable from 2 groups
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We want to compare the means of 2 variables within 2 groups
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We want to compare 1 variable from more than 2 groups
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None of these options are correction
Frage 20
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Which of the following is incorrect in relation to ANOVA:
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ANOVA is relatively robust to small numbers of participants
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ANOVA is relatively robust to unequal numbers of scores in different conditions
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ANOVA relatively robust to skewed data
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All of the above
Frage 21
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ANOVA evaluates how likely it is that any differences in conditions is due to:
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Sampling
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Homogeneity of variance
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Normal distributions
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The IV
Frage 22
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ANOVA evaluates how likely it is that any differences in conditions is due to:
Antworten
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Sampling
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Homogeneity of variance
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Normal distributions
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The IV
Frage 23
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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:
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Because the p value is small there is evidence that all the brands differ from each other in the mean amount of tar present.
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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.
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Because the p value us small, there is evidence that at least one brand has a different mean tar content from the other brands.
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Because the p value is small, there is evidence that all brands have the same men tar content.
Frage 24
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A large F ratio means:
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more likelihood the variance is causes by the IV
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Less likelihood the variance is caused by the IV
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The sample size used was small
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The error variance was larger than the IV variance
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B and D
Frage 25
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For ANOVA the null hypothesis states:
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For the individuals in the sample there is no consistent difference between treatments
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For the individuals in the population there is no consistent difference between the treatments
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For the individuals in the sample there is a consistent difference between the treatments
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For the individuals in the sample there is a consistent difference between treatments
Frage 26
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If the null hypothesis is true you expect:
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F to have a value closer to 1
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F to have a value closer to 0
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p to have a value > .05
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p to have a value < .05
Frage 27
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The degrees of freedom for the F test in a one way ANOVA are:
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(n-c) and (c-1)
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(c-1) and (n-c)
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(c-n) and (n-1)
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(n-1) and (c-n)
Frage 28
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In a one way ANOVA:
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An interaction is present
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An interaction can be tested
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There is no interaction
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None of the above
Frage 29
Frage
When carrying out an analysis, if the variance due to the IV is greater than the error variance, what does this mean?
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An error in calculation was made
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There should have been additional controls in the experiment
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That there is a consistent difference between treatments
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That there is no consistent difference between treatments
Frage 30
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What do we call the overall effect of an IV on a DV:
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Main effect
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Indirect effect
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Interaction effect
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Direct effect
Frage 31
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When the between-groups variance is a lot larger than the within-groups varience, the F-value is _____ and the likelihood of such a result occurring by sampling error _____.
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Large, decreases
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Small, decreases
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Large, increases
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Small, increases
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