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Recent questions in Effect Size
Descriptive StatisticsAnswered question
granuliet1u 2022-08-09For the independent-measures statistic, what is the effect of increasing the sample variances?
A) decrease the probability of rejecting the and increase measures of effect size.
B) increase the probability of rejecting the and decrease measures of effect size.
C) decrease the probability of rejecting the and decrease measures of effect size.
D) increase the probability of rejecting the and increase measures of effect size.
A) decrease the probability of rejecting the and increase measures of effect size.
B) increase the probability of rejecting the and decrease measures of effect size.
C) decrease the probability of rejecting the and decrease measures of effect size.
D) increase the probability of rejecting the and increase measures of effect size.
Descriptive StatisticsAnswered question
Samson Kaufman 2022-08-07Which of the following is true regarding effect size?
0.11 = moderate effect size
0.12 = small effect size
0.18 - small effect size
0.58= large effect size
0.11 = moderate effect size
0.12 = small effect size
0.18 - small effect size
0.58= large effect size
Descriptive StatisticsAnswered question
Parker Bird 2022-07-22Which of the following is true of standardized effect sizes?
Standardized effect-sizes are not useful in statistical calculations (e.g., power).
Standardized effect-sizes are reported in the same units as the original measures.
Standardized effect-sizes are very generalizable, allowing results to be pooled across studies.
Standardized effect-sizes are not useful in statistical calculations (e.g., power).
Standardized effect-sizes are reported in the same units as the original measures.
Standardized effect-sizes are very generalizable, allowing results to be pooled across studies.
Descriptive StatisticsAnswered question
suchonosdy 2022-07-21How does the shielding effect affect atomic radius?
Descriptive StatisticsAnswered question
Ruby Briggs 2022-07-18The measure of effect size used with the test of independence is
a.That there is a small effect size
b. That there is a medium effect size
c. That there is a large effect size
d. That there is no effect size at all
a.That there is a small effect size
b. That there is a medium effect size
c. That there is a large effect size
d. That there is no effect size at all
Descriptive StatisticsAnswered question
Haley Madden 2022-07-18Which of the following statements about the effect size is CORRECT?
a. the effect size is bigger when the two populations overlap more.
b. The effect size is NOT affected by the differences between means.
c. Standard effect size is always positive, because it is figured using the square root.
d. The effect size is bigger when the standard deviation of population gets smaller.
a. the effect size is bigger when the two populations overlap more.
b. The effect size is NOT affected by the differences between means.
c. Standard effect size is always positive, because it is figured using the square root.
d. The effect size is bigger when the standard deviation of population gets smaller.
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Effect-size is a statistical measure used to determine the size of the observed effect of an intervention or experiment on an outcome. It helps to compare the magnitude of an effect between different experiments or studies and to determine the statistical significance of the results. Effect-size is determined using questions, equations and answers to calculate the size of an effect relative to the variability of the sample. Researchers and students seeking assistance with effect-size calculations can find help in online forums, textbooks and tutorials. Effect-size can be used to help make decisions about whether an intervention has had a meaningful effect or not.
