What is an A/B test in the context of web analytics? A test to determine the most effective website design for user engagement. A comparison of two website servers. Analyzing two different user demographics. Measuring the speed of the website. Tracking the geographical data of users.
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Step 1: An A/B test is a method of comparing two versions of a web page to see which one performs better. Show more…
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Texts: A/B Testing and Number of Clicks. A/B testing is a method for comparing two versions of a product in an attempt to determine which version is preferred by customers. A/B testing is often used in webpage design by randomly presenting one of two possible website designs and then measuring performance metrics for each webpage, such as the number of clicks on a particular link. Suppose that a company is performing an A/B test for two versions of a webpage: Version A and Version B. The company is measuring the number of clicks on each webpage version per day, and these data are contained in the file "WebpageClicks". a. Compute the mean and median number of clicks per day for Version A and Version B of the webpage. Which version appears to be generating more clicks per day? b. Provide a five-number summary for the number of clicks per day generated by Version A and Version B. c. Construct boxplots for the number of clicks per day generated by Version A and Version B. Are there outliers for the number of clicks generated per day by Version A? Are there outliers for the number of clicks generated per day by Version B?
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