Tagged: statistics

Ogive Graph in R

Ogive Graph in R, An ogive is a graph that displays the proportion of data values in a dataset that is above or below a particular value. The following ogive graph in R is...

Correlation in R with Missing Values

Correlation in R with Missing Values, when one or more variables have missing values, you can compute correlation coefficients in R using the following techniques: The examples that follow demonstrate each technique in action....

One-sample Wilcoxon test in R

One-sample Wilcoxon test in R, Two independent samples are compared using the Mann-Whitney-Wilcoxon test, often known as the Wilcoxon rank sum test or Mann-Whitney U test. The purpose of this test is to discover...

Beginner’s Guide to Data Science

Beginner’s Guide to Data Science, The area of data science deals with many complex issues. For newcomers who want to comprehend data science simply, the accompanying complexities are frequently a barrier. We will provide...

Summary statistics in R

Summary statistics in R, This tutorial will show you how to use the aggregate function in the R programming language. Definition: The aggregate R function computes summary statistics for a data set’s subgroups. R...

Is It Difficult to Learn Data Science

Is It Difficult to Learn Data Science?, If you answered yes, you might be interested in learning whether data science is difficult to learn. So, if you read the entire blog, you will find...

Why Statisticians Enjoy Odds

Why Statisticians Enjoy Odds, Probability dominated your basic statistics class. Gamblers faced odds. However, it turns out that odds also play a significant influence in statistics. Why not use probability instead of odds?. We...

Fundamentals of R Programming

Fundamentals of R programming, Here, we provide you with some programming in R multiple-choice problems and their corresponding answers. You can review R programming principles with the aid of this quiz. Are you prepared...

Exponential Smoothing Forecast in Time Series

Exponential Smoothing Forecast in Time Series, A forecasting technique for univariate time series data is exponential smoothing. With this strategy, forecasts are weighted averages of historical observations, with the weights of older observations decreasing...