Computing power and sample sizes
You want to compare average funding per investment round for games companies versus advertising companies. You begin by computing the power of a two sample t-test.
Three things have been loaded for you:
ads_acquired_avg_funding
- (pandas Series) The average funding of each acquired advertising companygames_acquired_avg_funding
- (pandas Series) Same, but for game companiesads_games_cohensd
- (Number) Cohen's d (standardized effect size) for advertising versus games company's
The function needed to compute power has been imported from statsmodels.stats.power
.
This exercise is part of the course
Foundations of Inference in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Compute the ratio of games to advertising companies
games_ads_ratio = ____ / ____
# Compute the power of the test
____().____(effect_size=____,
nobs1=____,
alpha=____,
ratio=____)