The website allows users to upload, watch, and share videos and interact with other users through comments, bullet chats, and virtual gifts. The platform’s name is derived from the Japanese word “bilibili,” which means the sound of bullets firing rapidly, and “960M X.D.” represents the resolution of the videos on the platform. The network is a video-sharing platform specializing in anime, comics, and gaming content. Network, its mobile application, and its partnership with Taptap, as well as discuss its impact and prospects.īilibili HK960M X.D. This article will provide an overview of Bilibili HK960M X.D. Founded in 2009, the platform has become one of China’s most popular and influential social media sites, especially among young people. The network is a Chinese video website and mobile application with over 200 million registered users. Any experiment that involves later statistical inference requires a sample size calculation done BEFORE such an experiment starts.Bilibili Hk960m X.d. The significance level for the experiment: A 5% significance level means that if you declare a winner in your AB test (reject the null hypothesis), then you have a 95% chance that you are correct in doing so.The null hypothesis is tested against the alternative hypothesis which is that the two conversion rates are not equal:īefore we start running the experiment, we establish three main criteria: In every AB test, we formulate the null hypothesis which is that the two conversion rates for the control design ( ) and the new tested design ( ) are equal: Calculating the minimum number of visitors required for an AB test prior to starting prevents us from running the test for a smaller sample size, thus having an “underpowered” test. ![]() The test power : the probability of detecting that difference between the original rate and the variant conversion rates.Minimum detectable effect : The desired relevant difference between the rates you would like to discover.It also means that you have significant result difference between the control and the variation with a 95% “confidence.” This threshold is, of course, an arbitrary one and one chooses it when making the design of an experiment. Using the statistical analysis of the results, you might reject or not reject the null hypothesis. There is a difference between the two conversion rates but you don’t have enough sample size (power) to detect it.The difference between the two conversion rates is too small to be relevant.There is no difference between the two conversion rates of the control and the variation (they are EXACTLY the same!).Not rejecting the null hypothesis means one of three things: Rejecting the null hypothesis means your data shows a statistically significant difference between the two conversion rates. The first case is very rare since the two conversion rates are usually different. The second case is ok since we are not interested in the difference which is less than the threshold we established for the experiment (like 0.01%). ![]() The worst case scenario is the third one. You are not able to detect a difference between the two conversion rates although it exists. Because of the data, you are completely unaware of it. To prevent this problem from happening, you need to calculate the sample size of your experiment before conducting it. ![]() It is important to remember that there is a difference between the population conversion rates and the sample size conversion observed rates r.
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