On a standard test, the population is known to have a mean of 500 and a standard deviation of 100. Those receiving an experimental treatment have a mean of 540. The effect size is \(\_\_\_\_\_\_\) (rounded off to two decimal places).
Effect size quantifies the difference between group means:
Effect size = \(\frac{\text{Mean of experimental group - Mean of population}}{\text{Standard deviation}} \)
Effect size = \(\frac{540 - 500}{100} = 0.40\) Thus, the effect size is 0.40.
Here are two analogous groups, Group-I and Group-II, that list words in their decreasing order of intensity. Identify the missing word in Group-II.
Abuse \( \rightarrow \) Insult \( \rightarrow \) Ridicule
__________ \( \rightarrow \) Praise \( \rightarrow \) Appreciate
If Soni got an intelligence score of 115, then what percentage of the population (% as given in the graph) will have intelligence scores higher than the score obtained by Soni? (rounded off to 2 decimal places)