A simple introduction to statistical significance. Learn to differentiate between chance and factors of interest
This paper takes a critical look at the use of statistics in research, with particular reference to statistical significance. The validity of statistical evidence is questioned and the social, cultural and political forces which influence statistical analyses are briefly discussed. It is concluded that...
It can be hard to find the perfect sample size for statistically sound results. Here we reveal methods and tools for effective sample size determination.
Statistical Significanceis a way to tell you if your test results are solid. Statistics isn’t an exact science. In fact, you can think of stats as very finely tuned guesswork. As stats is guesswork, we need to know how close our “guess” is. That’s where significance comes in. What...
Analysis & Reporting Predictive Analytics 17 min read Analysis & Reporting Behavioral Analytics 12 min read Analysis & Reporting Statistical significance calculator: Tool & complete guide 18 min read Analysis & Reporting Regression Analysis 19 min read ...
Statistical Significance in A/B Testing A/B tests also report the statistical significance, which tells you how confident you can be in the result. Statistical significance helps us understand how likely it is that the difference we’re seeing is just due to random chance, rather than a real...
1. Alpha Levels / Significance Levels: Type I and Type II errors In hypothesis tests, two errors are possible,Type I and Type II errors. Type I error: Supporting thealternate hypothesiswhen the null hypothesis is true. Type II error: Not supporting the alternate hypothesis when the al...
We discuss how to perform each of these tests in the next section. But before you learn how to do them, it is imperative that you learn under what circumstances you should be using which test. The easiest way to determine which t-test is suitable for any scenario is by using the flowch...
advance to determine how small the p-value must be to reject the null hypothesis. Because different researchers use different levels of significance when examining a question, a reader may sometimes have difficulty comparing results from two different tests. P-values provide a solution to this ...
One tool that can determine the statistical significance of the results is the p-value. Ap-valuerepresents the probability that a difference as large or larger than the observed difference between the two average returns could occur solely by chance. ...