In which one of the following ways is a chi-square Test of Independence similar
ID: 3315992 • Letter: I
Question
In which one of the following ways is a chi-square Test of Independence similar to an ANOVA?
Both may be used when there are more than two groups or conditions to be compared.
Both examine differences between groups means.
Both answer questions about categorical data.
Both are appropriate to use when the sample size is very small.
You are testing the hypothesis that the salary of college graduates 1 year out of college is related to the graduates’ genders and to the graduates’ fields of study. What is the appropriate analytic technique for this study?
Two-sample t test
Analysis of variance
Chi-square goodness of fit
Chi-square test of independence
The effect size of a study helps determine if the statistical significance is a genuine treatment effect or merely an effect due to
random error.
sample size.
experimenter error.
the IV.
If the effect size is found to be very small, then the results probably also have
no statistical significance.
no practical significance.
low generalizability to other populations.
low means.
For a given level of statistical significance, as sample size increases, effect size
increases.
decreases.
is uneffected.
Measures of effect size establish the ___________ of the treatment effect.
statistical significance.
absolute magnitude.
practical significance.
You conduct a study and find that Cohen’s d = .62. By Cohen’s standards this effect size is
small
medium
You conduct a study and find that effect size r or h = .62. This effect size is generally considered to be
small
medium
large
Cohen’s d can be used only if the original test statistic was a/an
t
F
c2
large
Both may be used when there are more than two groups or conditions to be compared.
Both examine differences between groups means.
Both answer questions about categorical data.
Both are appropriate to use when the sample size is very small.
You are testing the hypothesis that the salary of college graduates 1 year out of college is related to the graduates’ genders and to the graduates’ fields of study. What is the appropriate analytic technique for this study?
Two-sample t test
Analysis of variance
Chi-square goodness of fit
Chi-square test of independence
The effect size of a study helps determine if the statistical significance is a genuine treatment effect or merely an effect due to
random error.
sample size.
experimenter error.
the IV.
If the effect size is found to be very small, then the results probably also have
no statistical significance.
no practical significance.
low generalizability to other populations.
low means.
For a given level of statistical significance, as sample size increases, effect size
increases.
decreases.
is uneffected.
Measures of effect size establish the ___________ of the treatment effect.
statistical significance.
absolute magnitude.
practical significance.
You conduct a study and find that Cohen’s d = .62. By Cohen’s standards this effect size is
small
medium
You conduct a study and find that effect size r or h = .62. This effect size is generally considered to be
small
medium
large
Cohen’s d can be used only if the original test statistic was a/an
t
F
c2
large
Explanation / Answer
51. Both may be used when there are more than two groups or conditions
Note :
Anova: to compare means of more than two groups
Chi square: to compare proportion of two or more groups
2. Analysis of variance
Note: two way anova
3. Sample size
Note: to calculate effect size we dont use use standard error ( which is based on sample size) rather we use standard deviation . In significance test very small or large samplw size may lead to confusion so we see the effect size
4. No Practical significance
5. Uneffected
Note: as sample size is not taken into consideration to calculate effect size
6. Absolute magnitude
7. Medium
8. t