Computing Cohen's d
Now, using the same comparison of Weight difference between Sports, let's calculate the actual effect size for this comparison. As a reminder, these data are summarized in the boxplot below.
Using the formula seen in the previous video, calculate Cohen's d for the difference in Weight between each Sport. Your data is contained in athletes. pandas and math are loaded into your workspace as pd and ma.
This exercise is part of the course
Performing Experiments in Python
Exercise instructions
- Create two series, one for the samples from each
Sport. - Calculate
diff, the difference between the mean of each sample, andpooledstdev, the pooled standard deviation. - Calculate Cohen's d and print it.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create series
athl = ____
swim = ____
# Calculate difference between means and pooled standard deviation
diff = swim.mean() - ____
pooledstdev = ma.sqrt((athl.std()**2 + ____)/2 )
# Calculate Cohen's d
cohend = ____ / pooledstdev
print(____)