1. Apprendre
    2. /
  2. Cours
    3. /
  3. A/B Testing in R
  • 1

    Introduction to A/B Tests

    Gratuit

    Gain an understanding of A/B tests and design. Learn about the aspects to be aware of to ensure appropriate handling of the data and analyses.

  • 2

    Comparing Groups

    Learn common analyses to compare A/B groups. Understand the appropriate approach to each test given their assumptions and limitations.

  • 3

    Associations of Variables

    Learn to analyze the trend and relationship of variables in A/B groups. Understand how to assess and present the results to any audience.

  • 4

    Regression and Prediction

    Understand the basis of regression and regression lines. Learn to run regressions, predict data based on the regression model, and visually present the results.

Initializing

Exercice

Linearity

Visualizing the linear model aids in having a full understanding of the results as well as presenting them to others.

A company has collected the data of their website's users and is interested in whether the amount of time spent searching for items on the website, TimeSearching, impacts the amount of money spent purchasing items, AmountSpent. Run a correlation, create the linear regression model, predict the amount that will be spent given 27 minutes of time searching on the site, and create a scatter plot indicating the relevant information.

The SiteSales dataset and ggplot2 package have been loaded for you.

Instructions 1/4

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  • Run a Pearson correlation test on the AmountSpent and TimeSearching of the SiteSales data frame.