The kappa coefficient, which is used to determine inter-rater reliability or agreement, is explained in this article. The magnitude of kappa is frequently more important in most applications than the statistical significance of kappa....
Importance of Quartiles in Statistics, Data science is ranked as the third-highest demanded profession globally, which is certainly not bad at all. Millions of students aspire to become data scientists, but honestly, it takes...
How to Interpret a Standard Deviation of Zero?, The standard deviation is a statistic that measures the spread of values in a sample. The standard deviation of a sample can be calculated using the...
How to interpret Margin of Error Results, In statistics, the margin of error is used to determine how accurate a population proportion or population mean estimate is. When constructing confidence intervals for population parameters,...
In adaptive clinical trials, A patient may be given a new, more effective medication as an adaptive design clinical study develops. Any design that allows for changes to a clinical trial as it progresses...
Statistical test assumptions and requirements, many statistical processes, such as correlation, regression, t-test, and analysis of variance, presuppose that the data has a given property. Statistical test assumptions and requirements In general: The data...
Regression analysis in statistics, Regression analysis is a technique for identifying patterns in data. You might think there’s a link between how much you eat and how much you weigh, for example; regression analysis...
Ad Hoc Analysis, A graph of data is sometimes the outcome of ad hoc analysis. Ad hoc means “just for a certain reason.” In business intelligence, ad hoc analysis is performed to answer a...
Similarity Measure Between Two Populations, The Brunner Munzel test (also known as the Generalized Wilcoxon Test) is a nonparametric statistical test for determining whether two samples are stochastically equal. Stochastic equality is a measure...
Rejection Region in Hypothesis Testing, What is the definition of a Rejection Region? A rejection region is a section of a graph where the null hypothesis is rejected (assuming your test results fall into...
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