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A confidence level of 95% (the typical value) means that if you were to sample from the same population 100 times, you’d expect the interval to contain the actual mean or proportion 95 times.
Jeff Sauro • Quantifying the User Experience: Practical Statistics for User Research
Data Visualization
dane cads and • 11 cards
For k = 5, you have a 23% probability of seeing something statistically significant. For k = 10, that probability rises to 40%.
Ya Xu • Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing
One of the most effective ways to get a representative sample is through a process of random sampling. Random sampling means that the sample group is chosen completely randomly (often by computer);
Albert Rutherford • Statistics for the Rest of Us: Mastering the Art of Understanding Data Without Math Skills (Advanced Thinking Skills Book 4)
there can (and should) be short-term streaks that significantly skew the conversion rates in low data situations. Remember, the laws of probability only guarantee the accuracy and stability of results for very large sample sizes. For smaller sample sizes, a lot of fuzz and uncertainty remain.
Maura Ginty • Landing Page Optimization: The Definitive Guide to Testing and Tuning for Conversions
This chapter will look at five common pitfalls in statistics and how you, the average consumer, can recognize them.
Albert Rutherford • Statistics for the Rest of Us: Mastering the Art of Understanding Data Without Math Skills (Advanced Thinking Skills Book 4)
A key aspect of thinking quantitatively is understanding the laws of probability and randomness.