Now that you have learned a bit about how Amazon uses A/B tests, what do you think are some of the risks and challenges associated with performing so many hypothesis tests? What would you do to mitigate those risks? Think about the results of the tests. What were the effects? Look at the size of the effects. Were they small or large? Why were the sample sizes so large?
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Risk & challenges arsocided with performing so many hypothesis test. The baix appeach has a number of shortcomings first, four many of the weapon system, (1) the test may be costely, (2) they may damage the environment, (2) They may be congenious. There considerations often make it impossptule to Content Samples of even madeacte size . At the same time, system performance must usually be agregoed water a variety of conditions. True minimizing the expected compte size needed to achiele a given level of significanos is highly...
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