Test
General ANOVA
Preguntas del test (31)
1For an experiment comparing more than two treatment conditions you should use analysis of variance rather than separate t-tests because:
- AYou are less likely to make a mistake in the computations of ANOVA
- BA test based on variance is more sensitive than a test based on means
- CANOVA has less risk of a Type I error because several means are compared in one test
- DANOVA has less risk of a Type II error because several means are compared in one test
2The null hypothesis for an ANOVA states that
- AThere are no differences between any of the population means
- BAt least one of the population means is different from the others
- CAll the population means are different from each other
- DNone of the other 3 choices are correct
3When the null hypothesis is true for ANOVA, what is the expected value for the F-ratio?
- A0
- B1.00
- Ck-1
- DN-k
4In analysis of variance, the F-ratio is a ratio of:
- ATwo (or more) sample means
- BTwo variances
- CSample means divided by sample variances
- DNone of the other 3 choices are correct
5In an ANOVA, which of the following is most likely to produce a large value for he F-ratio?
- ALarge mean differences and small sample variances
- BLarge mean differences and large sample variances
- CSmall mean differences and small sample variances
- DSmall mean differences and large sample variances
6For 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:
- A18
- B19
- C1, 18
- D1, 19
7A 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?
- Adf= 3,5
- Bdf= 3,15
- Cdf= 3,20
- Ddf= 4, 24
8A researcher reports an F-ratio with df= 3,36 for an independent-measures experiment. How many treatment conditions were compared in this experiment?
- A3
- B4
- C36
- D39
9A researcher reports an F-ratio with df= 3,36 for an independent-measures experiment. How many individual subjects participated in the experiment?
- A36
- B39
- C40
- DCannot be determined from the information given
10A factor experiment means that the experimental design includes:
- ATwo independent variables
- BTwo dependent variables
- CAn interaction between the independent and the dependent variable
- DExactly two separate groups of subjects
11In a two-factor analysis of variance a main effect is defined as:
- AThe mean differences among the levels of one factor
- BThe mean differences among all treatment conditions
- CThe mean differences between the two factors
- DThe difference between the largest treatment mean and the smallest treatment mean
12The results from a 2-way ANOVA show that both main effects are significant. We can conclude:
- AThat the interaction also must be significant
- BThat the interaction cannot be significant
- CThere must be an interaction but it may not be statistically significant
- DYou can make no conclusions about the significance of the interaction
13Prior 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?
- A12
- B3
- C4
- D7
14In two way ANOVA what should you always look at first?
- AThe significance of factor 1
- BThe significance of factor 2
- CThe interaction between factors 1 and 2
- DNone of the above
15To test for an interaction effect the statistic should be:
- AOne way ANOVA
- BTwo way ANOVA
- CTwo way chi-squared
- DNone of the above
16A 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?
- ARepeated measures ANOVA
- BFisher's exact probability test
- COne-way between groups ANOVA
- DPearsons r
17THe one way ANOVA is used to test hypothesis concerning:
- AMeans tests
- BStandard deviation
- CMean squares
- DVariance
18ANOVA assumes that the data to be analysed:
- AHas a normal distribution
- BThat the data is interval
- CThe variances in the groups are similar
- DAll of the above
19One way ANOVA should be used when:
- A We want to compare the means of 1 variable from 2 groups
- BWe want to compare the means of 2 variables within 2 groups
- CWe want to compare 1 variable from more than 2 groups
- DNone of these options are correction
20Which of the following is incorrect in relation to ANOVA:
- AANOVA is relatively robust to small numbers of participants
- BANOVA is relatively robust to unequal numbers of scores in different conditions
- CANOVA relatively robust to skewed data
- DAll of the above
21ANOVA evaluates how likely it is that any differences in conditions is due to:
- ASampling
- BHomogeneity of variance
- CNormal distributions
- DThe IV
22ANOVA evaluates how likely it is that any differences in conditions is due to:
- ASampling
- BHomogeneity of variance
- CNormal distributions
- DThe IV
23In 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:
- ABecause the p value is small there is evidence that all the brands differ from each other in the mean amount of tar present.
- BBecause the p value is small, there is no evidence than any of the brands differ in the mean tar content from the other brands.
- CBecause the p value us small, there is evidence that at least one brand has a different mean tar content from the other brands.
- DBecause the p value is small, there is evidence that all brands have the same men tar content.
24A large F ratio means:
- Amore likelihood the variance is causes by the IV
- BLess likelihood the variance is caused by the IV
- CThe sample size used was small
- DThe error variance was larger than the IV variance
- EB and D
25For ANOVA the null hypothesis states:
- AFor the individuals in the sample there is no consistent difference between treatments
- BFor the individuals in the population there is no consistent difference between the treatments
- CFor the individuals in the sample there is a consistent difference between the treatments
- DFor the individuals in the sample there is a consistent difference between treatments
26If the null hypothesis is true you expect:
- AF to have a value closer to 1
- BF to have a value closer to 0
- Cp to have a value > .05
- Dp to have a value < .05
27The degrees of freedom for the F test in a one way ANOVA are:
- A(n-c) and (c-1)
- B(c-1) and (n-c)
- C(c-n) and (n-1)
- D(n-1) and (c-n)
28In a one way ANOVA:
- AAn interaction is present
- BAn interaction can be tested
- CThere is no interaction
- DNone of the above
29When carrying out an analysis, if the variance due to the IV is greater than the error variance, what does this mean?
- AAn error in calculation was made
- BThere should have been additional controls in the experiment
- CThat there is a consistent difference between treatments
- DThat there is no consistent difference between treatments
30What do we call the overall effect of an IV on a DV:
- AMain effect
- BIndirect effect
- CInteraction effect
- DDirect effect
31When 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 _____.
- ALarge, decreases
- BSmall, decreases
- CLarge, increases
- DSmall, increases
Información
- Descripción
- MCQ on Analysis of Variance
- Autor
- Charlotte Joseph
- Idioma
- English
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