Deck 11: Analysis of Variance
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Deck 11: Analysis of Variance
1
A larger F obtained statistic means that there is more ______ variance than ______ variance.
A)between-group;within-group
B)within-group;between-group
C)explained;observed
D)mean square;sum of square
A)between-group;within-group
B)within-group;between-group
C)explained;observed
D)mean square;sum of square
between-group;within-group
2
Which of the following is an assumption of ANOVA?
A)The population is not normally distributed.
B)The dependent variable is a nominal level of measurement.
C)The population variances are statistically significant.
D)Independent random samples are used.
A)The population is not normally distributed.
B)The dependent variable is a nominal level of measurement.
C)The population variances are statistically significant.
D)Independent random samples are used.
Independent random samples are used.
3
What does the between-group sum of squares measure?
A)The sum of the squared deviations between each group mean and every other group mean
B)The sum of the squared deviations between each group mean and the mean across all groups
C)The sum of the squared deviations between each individual observation and its group mean
D)The sum of the squared deviations between each individual observation and the mean across all groups
A)The sum of the squared deviations between each group mean and every other group mean
B)The sum of the squared deviations between each group mean and the mean across all groups
C)The sum of the squared deviations between each individual observation and its group mean
D)The sum of the squared deviations between each individual observation and the mean across all groups
The sum of the squared deviations between each group mean and the mean across all groups
4
What is the research hypothesis when using ANOVA procedures?
A)
B)
C)At least one of the group means is significantly different from the others.
D)All of the group means are significantly different from all other group means.
A)

B)

C)At least one of the group means is significantly different from the others.
D)All of the group means are significantly different from all other group means.
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5
What does the within-group sum of squares measure?
A)The sum of the squared deviations between each group mean and every other group mean
B)The sum of the squared deviations between each group mean and the mean across all groups
C)The sum of the squared deviations between each individual observation and its group mean
D)The sum of the squared deviations between each individual observation and the mean across all groups
A)The sum of the squared deviations between each group mean and every other group mean
B)The sum of the squared deviations between each group mean and the mean across all groups
C)The sum of the squared deviations between each individual observation and its group mean
D)The sum of the squared deviations between each individual observation and the mean across all groups
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6
ANOVA allows us to determine whether the variance between samples is larger than the variance within samples.If the variance is larger between samples,what can we say about the group differences we are interested in analyzing?
A)There are no group differences.
B)There may be group differences.
C)The dependent variables vary significantly across groups.
D)The dependent variables vary significantly within groups.
A)There are no group differences.
B)There may be group differences.
C)The dependent variables vary significantly across groups.
D)The dependent variables vary significantly within groups.
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7
In order to determine whether the differences between group means are statistically significant,ANOVA examines the differences
A)between groups.
B)within groups.
C)between and within groups.
D)neither between nor within groups.
A)between groups.
B)within groups.
C)between and within groups.
D)neither between nor within groups.
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8
The test statistic for ANOVA is
A)t
B)r²
C)µ
D)F
A)t
B)r²
C)µ
D)F
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9
ANOVA is best suited for comparing the means of ______ group(s)at once.
A)identical
B)one
C)at least two
D)deviant
A)identical
B)one
C)at least two
D)deviant
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10
In which academic field is ANOVA most commonly used?
A)Marine science
B)Social psychology
C)Forensic anthropology
D)Health research
A)Marine science
B)Social psychology
C)Forensic anthropology
D)Health research
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11
The amount of variation in the dependent variable that can be attributed to or explained by the independent variable is called the
A)between-group sum of squares.
B)within-group sum of squares.
C)total sum of squares.
D)correlation coefficient.
A)between-group sum of squares.
B)within-group sum of squares.
C)total sum of squares.
D)correlation coefficient.
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12
What is the null hypothesis when using ANOVA procedures?
A)
B)
C)
D)
A)

B)

C)

D)

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13
The between-group sum of squares and the within-group sum of squares compose the
a.aggregate group sum of squares.
b.ratio sum of squares.
c.total sum of squares.
d.mean level of variance.
a.aggregate group sum of squares.
b.ratio sum of squares.
c.total sum of squares.
d.mean level of variance.
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14
The F-test statistic that is calculated is called
A)F obtained.
B)alpha.
C)F critical.
D)eta-squared.
A)F obtained.
B)alpha.
C)F critical.
D)eta-squared.
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15
An analysis of variance with one dependent and one independent variable is referred to as a
A)single correlation.
B)multiple regression.
C)one-way ANOVA.
D)multiple ANOVA.
A)single correlation.
B)multiple regression.
C)one-way ANOVA.
D)multiple ANOVA.
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16
Why is the F statistic also called an F ratio?
A)It is the ratio of one group mean to another.
B)It is the ratio of the mean square between to the mean square within.
C)It is the ratio of the within-group sum of squares to the between-group sum of squares
D)It is the ratio of degrees of freedom for the within-group sum of squares to the degrees of freedom for the between-group sum of squares
A)It is the ratio of one group mean to another.
B)It is the ratio of the mean square between to the mean square within.
C)It is the ratio of the within-group sum of squares to the between-group sum of squares
D)It is the ratio of degrees of freedom for the within-group sum of squares to the degrees of freedom for the between-group sum of squares
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17
The formula,
,calculates the ______ sum of squares.
A)between-group
B)within-group
C)total
D)perceived

A)between-group
B)within-group
C)total
D)perceived
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18
Differences between samples,or within a single sample,are referred to as the
A)variance.
B)mean.
C)parameter.
D)deviation.
A)variance.
B)mean.
C)parameter.
D)deviation.
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19
After calculating the between-group sum of squares and the within-group sum of squares,the next step is to calculate the mean square between and the mean square within.This is achieved by
A)calculating the average group mean.
B)multiplying the between-group sum of squares and the within-group sum of squares.
C)adding the between-group sum of squares and the within-group sum of squares.
D)dividing each sum of squares by its respective degrees of freedom.
A)calculating the average group mean.
B)multiplying the between-group sum of squares and the within-group sum of squares.
C)adding the between-group sum of squares and the within-group sum of squares.
D)dividing each sum of squares by its respective degrees of freedom.
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20
The formula,
,calculates the ______ sum of squares.
A)between-group
B)within-group
C)total
D)perceived

A)between-group
B)within-group
C)total
D)perceived
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21
A researcher is interested in comparing the mean education levels of recent immigrant groups by origin country.She is particularly interested in comparing the mean education levels of immigrants from China,Ecuador,Mexico,and Vietnam.The researcher uses an ANOVA design and calculates an F statistic of 29.275.What two statistical quantities comprise the numerator and denominator of this statistic?
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22
SELECT ALL THAT APPLY.The within-group sum of squares
A)measures the scores within a single sample.
B)is the sum of squared deviation between each sample mean to the overall mean score.
C)is calculated using
.
D)is a tedious and cumbersome set of calculations.
A)measures the scores within a single sample.
B)is the sum of squared deviation between each sample mean to the overall mean score.
C)is calculated using

D)is a tedious and cumbersome set of calculations.
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23
SELECT ALL THAT APPLY.The between-group sum of squares
A)measures differences in variance between the groups.
B)is the sum of squared deviation between each sample mean to the overall mean score.
C)is calculated using
.
D)is the amount of variation in the dependent variable that can be attributed to the independent variable.
A)measures differences in variance between the groups.
B)is the sum of squared deviation between each sample mean to the overall mean score.
C)is calculated using

D)is the amount of variation in the dependent variable that can be attributed to the independent variable.
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24
SST = SSB - SSW
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25
Imagine you are interested in whether there is a significant difference between the mean age of marriage across educational groups.If the critical value for an F statistic of 8.49 is 2.99,are these results statistically significant or not?
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26
SELECT ALL THAT APPLY.The assumptions of ANOVA test are:
A)independent random samples.
B)nominal level of measurement of variables.
C)population distribution is normal.
D)population variances are not equal.
A)independent random samples.
B)nominal level of measurement of variables.
C)population distribution is normal.
D)population variances are not equal.
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27
SELECT ALL THAT APPLY.ANOVA
A)is one-way if it is applied to one dependent and one independent variable.
B)Requires non-homogeneity of variance.
C)examines difference between the samples only and not differences within a single sample.
D)allows us to determine whether the variance between samples is different than variances within the samples.
A)is one-way if it is applied to one dependent and one independent variable.
B)Requires non-homogeneity of variance.
C)examines difference between the samples only and not differences within a single sample.
D)allows us to determine whether the variance between samples is different than variances within the samples.
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28
A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups.Based on the data below,calculate the value of the between-group sum of squares (SSB).


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29
A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups.Based on the data below,the mean square between and the mean square within are 313.01 and 36.87 respectively.Calculate the F statistic.


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30
A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups.If the F statistic calculated for these data is 8.49,what is the value of the mean square within?


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31
In an ANOVA,the population variances are assumed to be equal.
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32
SELECT ALL THAT APPLY.Degrees of freedom:
A)
where k is the number of samples.
B)
where N is the Population size and k is the number of samples.
C)
.
D)
.
A)

B)

C)

D)

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33
The F statistic is the ratio of between-group variance to within-group variance.
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34
A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups in the 2006 General Social Survey.The data are provided in the accompanying data.If the value of the mean square within is 36.87,calculate the within-group sum of squares and the number of degrees of freedom for the within-group sum of squares.


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35
A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups.Based on the data below,calculate the degrees of freedom for the between-group sum of squares.Then,use this quantity to calculate the mean square between.


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36
SELECT ALL THAT APPLY.The correlation ratio or eta square
A)allows the researcher to make a statement about the strength of the relationship.
B)represents the proportions of variance that is explained by the independent variables.
C)is the ratio of SST to SSB.
D)ranges from 0.0 to ±1.
A)allows the researcher to make a statement about the strength of the relationship.
B)represents the proportions of variance that is explained by the independent variables.
C)is the ratio of SST to SSB.
D)ranges from 0.0 to ±1.
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37
If alpha = 0.05 and,F critical is 3.55 and the obtained critical is 5.43,we reject the null hypothesis since 3.55 < 5.43.
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38
A researcher is interested in comparing the mean education levels of recent immigrant groups by country of origin.She is particularly interested in comparing the mean education levels of immigrants from China,Ecuador,Mexico,and Vietnam.What is the null hypothesis?
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39
As eta square approaches zero,the relationship between the variables is weaker.
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40
ANOVA is a test of the null hypothesis of no difference between any of the means.
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41
List the four assumptions of ANOVA.
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42
What is the corresponding F critical when
=3,
=20 and alpha level= .01?


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43
Imagine you are interested in whether there is a significant difference between the mean age of marriage across educational groups.Use the data in the accompanying table to calculate the value of the between-group sum of squares.


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44
What can you say about the relationship if eta square is 0.85?
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45
Imagine you are interested in whether there is a significant difference between the mean age of marriage across educational groups in the 2010 General Social Survey.If the value of the mean square within for these data is 36.87,calculate the within-group sum of squares and the number of degrees of freedom for the within-group sum of squares.
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46
If the F critical is 4.94 while the F obtained is 3.97,when
= 3,
= 20 and alpha level = .01,do we accept or reject the null hypothesis?


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47
Imagine you are interested in whether there is a significant difference between the mean age of marriage across educational groups.Calculate the degrees of freedom for the between-group sum of squares.Then,use this quantity to calculate the mean square between.


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48
Imagine you are interested in whether there is a significant difference between the mean age of marriage across educational groups.If the F statistic is 6.10,use the data below to determine the value of the mean square within.


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49
What is the F critical?
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50
If SSB = 15.62
and SSW = 6.39
,then calculate the F statistic.


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