# Question: A random sample of n 16 scores is obtained

A random sample of n = 16 scores is obtained from a population with a mean of µ = 45. After a treatment is administered to the individuals in the sample, the sample mean is found to be µ = 49.2.

a. Assuming that the sample standard deviation is s = 8, compute r2 and the estimated Cohen's d to measure the size of the treatment effect.

b. Assuming that the sample standard deviation is s = 20, compute r2 and the estimated Cohen's d to measure the size of the treatment effect.

c. Comparing your answers from parts a and b, how does the variability of the scores in the sample influence the measures of effect size?

a. Assuming that the sample standard deviation is s = 8, compute r2 and the estimated Cohen's d to measure the size of the treatment effect.

b. Assuming that the sample standard deviation is s = 20, compute r2 and the estimated Cohen's d to measure the size of the treatment effect.

c. Comparing your answers from parts a and b, how does the variability of the scores in the sample influence the measures of effect size?

## Relevant Questions

A random sample is obtained from a population with a mean of µ = 45. After a treatment is administered to the individuals in the sample, the sample mean is M = 49 with a standard deviation of σ = 12. a. Assuming that the ...Research examining the effects of preschool childcare has found that children who spent time in day care, especially high-quality day care, perform better on math and language tests than children who stay home with their ...To evaluate the effect of a treatment, a sample is obtained from a population with a mean of µ = 30, and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be µ = ...Does posting calorie content for menu items affect people's choices in fast food restaurants? According to results obtained by Elbel, Gyamfi, and Kersh (2011), the answer is no. The researchers monitored the calorie content ...If other factors are held constant, explain how each of the following influences the value of the independentmeasures t statistic and the likelihood of rejecting the null hypothesis: a. An increase in the mean difference ...Post your question