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Fit the model using another dataset

Let's fit the binomial model to both the video ad data (13 out of 100 clicked) and the new text ad data (6 out of a 100 clicked).

This exercise is part of the course

Fundamentals of Bayesian Data Analysis in R

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Hands-on interactive exercise

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

# Define parameters
n_draws <- 100000
n_ads_shown <- 100
proportion_clicks <- runif(n_draws, min = 0.0, max = 0.2)
n_visitors <- rbinom(n = n_draws, size = n_ads_shown, 
                     prob = proportion_clicks)
prior <- data.frame(proportion_clicks, n_visitors)

# Create the posteriors for video and text ads
posterior_video <- prior[prior$n_visitors == 13, ]
posterior_text <- ___

# Visualize the posteriors
hist(posterior_video$proportion_clicks, xlim = c(0, 0.25))
___
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