How to Create an Ogive Graph in Python

Ogive graphs are used to estimate how many numbers lie below or above a particular variable or value in data. …

How to Find Correlation in Python(With Examples)

Correlation is a statistical technique that can show whether and how strongly pairs of variables are related. It measures the …

How to Perform a Shapiro-Wilk Test in Python

The Shapiro-Wilk test is used to calculate whether a random sample of data comes from a normal distribution which is …

How to Calculate the Standard Error of the Mean in Python

The Standard Error of the Mean (SEM) describes how far a sample mean varies from the actual population mean. It is used …

How to Generate a Normal Distribution in Python

The normal distribution is continuous probability distribution for real values random variables whose distributions are not known. It is one …

How to Calculate Binomial Distribution in Python

The binomial distribution is the basis for popular binomial test in statistics. The binomial distribution probability distribution that summarize about …

How to Calculate Mean Squared Error (MSE) in Python

Mean squared error (MSE) of an estimator measures the average of the squared errors, it means averages squared difference between …

How to Calculate Root Mean Squared Error (RMSE) in Python

The root mean squared error (RMSE) is used to measured the differences between values predicted by the model and observed …

How to Calculate Autocorrelation in Python

Autocorrelation measures the degree of same variable correlation in time series and lagged version of the value of a variable. …