Avijit BhattacharjeeUnderstanding Effect Sizes: Why They Matter More Than Just P-ValuesWhen conducting a study or analyzing data, we often hear the question, “Is the result statistically significant?” The typical answer hinges…1h ago
Jeffrey NäfinTowards Data ScienceDeep Dive into HPLBs for A/B testing using Random ForestAn alternative to p-values in A/B-TestingDec 12, 2022
NitinKumar SharmaHow to Interpret Z-Scores and P-Values: A Step-by-Step GuideAnalogy: Heights in a RoomSep 273Sep 273
Saurav JadhavNotes on p-valueEven in cases where there’s no evidence of significance, we cannot say we accept the null hypothesis or that the null hypothesis is true…6d ago6d ago
Chandradip BanerjeeWhen to use t-test,z-test,anova and chi test?The choice of statistical test depends on the type of data you haveMar 6, 2023Mar 6, 2023
Avijit BhattacharjeeUnderstanding Effect Sizes: Why They Matter More Than Just P-ValuesWhen conducting a study or analyzing data, we often hear the question, “Is the result statistically significant?” The typical answer hinges…1h ago
Jeffrey NäfinTowards Data ScienceDeep Dive into HPLBs for A/B testing using Random ForestAn alternative to p-values in A/B-TestingDec 12, 2022
NitinKumar SharmaHow to Interpret Z-Scores and P-Values: A Step-by-Step GuideAnalogy: Heights in a RoomSep 273
Saurav JadhavNotes on p-valueEven in cases where there’s no evidence of significance, we cannot say we accept the null hypothesis or that the null hypothesis is true…6d ago
Chandradip BanerjeeWhen to use t-test,z-test,anova and chi test?The choice of statistical test depends on the type of data you haveMar 6, 2023
Adel BasliUnderstanding P-Values: The Cornerstone of Statistical SignificanceStatistical analysis often serves as the backbone of decision-making in numerous fields, from scientific research to business strategy…Oct 26
León Andrés M.The P-Value Fallacy: A Statistician Speaks OutWhen statistical significance leads to scientific insignificanceOct 213
Ganesh ThoratIn today’s data-driven world, making decisions based on solid evidence is crucial.Hypothesis testing is a fundamental concept in statistics that helps us test our assumptions about data. Instead of relying on guesses or…Oct 24
