Calculating the posterior difference

The posterior proportion_clicks for the video and text ad has been put into a single posterior data frame. The reason for [1:4000] is because these proportion_clickss are not necessarily of the same length, which they need to be when put into a data frame.

Now it's time to calculate the posterior probability distribution over what the difference in proportion of clicks might be between the video ad and the text ad.

This exercise is part of the course

Fundamentals of Bayesian Data Analysis in R

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

posterior <- data.frame(
    video_prop = posterior_video$proportion_clicks[1:4000],
    text_prop  = posterior_text$proportion_click[1:4000])
    
# Calculate the posterior difference: video_prop - text_prop


# Visualize prop_diff

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