Effect size for means

Many venture capital-backed companies receive more than one round of funding. In general, the second round is bigger than the first. Just how much of an effect does the round number have on the average funding amount? You can use Cohen's d to quantify this.

A DataFrame of venture capital investments (investments_df) has been loaded for you, as have the packages pandas as pd, NumPy as np and stats from SciPy. The column funding_total_usd shows the total funding received in that round.

Select funding_rounds 1 and 2 separately from investments_df.
Calculate the standard deviation and sample size of each round.
Calculate the pooled standard deviation between the two rounds.
Calculate Cohen's d using the terms you just calculated.

Exercise

Effect size for means

Instructions