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Update a Bayesian model with data

You ran your ad campaign, and 13 people clicked and visited your site when the ad was shown a 100 times. You would now like to use this new information to update the Bayesian model.

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The model you put together in the last exercise resulted in two vectors: (1) proportion_clicks that represents the uncertainty regarding the underlying proportion of clicks and (2) n_visitors which represents the uncertainty regarding the number of visitors you would get. We have now put these vectors into a data frame for you called prior.

Take a look at the first rows of prior using the head() function.

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