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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 company
  • games_acquired_avg_funding - (pandas Series) Same, but for game companies
  • ads_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

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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=____)
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