Category: Statistics

Missing Value Imputation in R

Missing Value Imputation in R, Every data user is aware of the problem: Nearly all data sets contain some missing data, which can cause major issues like skewed estimations or decreased efficiency owing to...

Principal Component Analysis Advantages

Principal Component Analysis Advantages, with the help of Principal Component Analysis (PCA), a statistical technique, we are able to reduce the number of features in our data from a large number to just a...

Standard Deviation explained with examples

Standard Deviation explained with examples, in statistics, the term standard deviation is widely used to solve the various branches of statistics. It is usually used to find the differences in the data values from...

Basic statistics concepts

Basic statistics concepts, The Z value is a measure of standard deviation, or how far the observed value deviates from the mean. For example, the value of z value = +1.8 indicates that the...

Kappa Coefficient Interpretation Guide

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....

How to interpret Margin of Error Results?

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,...

What is an adaptive clinical trial?

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...

Regression Analysis in Statistics

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...

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