Hi ,

Need hekp with correcting my code below to Tcalculate he historical monthly conversion rate is about .2. Increasing this to .3 is equivalentall things being equalto about a $2 increase in ARPU. What would the required sample size be for a comparable A/B/C/D test of conversions, assuming this conversion MEI of .1?

My code n R studio is

Calculate the required sample size for a conversion rate test assuming an MEI of 0.1 (conversion rate increase from 0.2 to 0.3).

```{r} # Step 1: Calculate the effect size for conversion rate change effect_size_conversion <- 0.1 / sqrt(0.2 * (1 - 0.2))

# Step 2: Calculate the sample size for conversion rate sample_size_conversion <- pwr.2p.test(h = effect_size_conversion, sig.level = 0.05/3, power = 0.8)$n

# Total sample size for the A/B/C/D test total_sample_size_conversion <- ceiling(sample_size_conversion * 4) total_sample_size_conversion.

My out put is 1341

Expected Output: Sample size per group: 2,451 (approximately). Total sample size: 10,164 (approximately).

PLease help