Articles and news about Statistic

How to do Regression with Statsmodels in Python

Discover how to perform regression analysis with Statsmodels in Python. From data preparation to model tuning, learn step-by-step instructions to lev...

Multivariate Regression and its problems

This class explores the common challenges and problems associated with multivariate regression, offering insights and practical solutions to improve t...

Regression Models over Time: ARIMA and Time Series

In this class, we will explore how to model and forecast time series using ARIMA, including fundamental concepts, parameter selection, and performance...

Parameters to evaluate a simple linear regression model: R^2 and SEE

This article addresses the fundamental principles of analyzing a simple linear regression model, highlighting aspects such as choice of parameters, st...

Statistics in Python: Using Pandas to understand your distribution

Discover how to analyze statistical data in Python using the powerful Pandas library. Learn to interpret and visualize the distribution of your data ...

Statistical inference: confidence interval

Explore the concept of confidence intervals in statistical inference, its importance in data analysis, and how it helps estimate the accuracy of measu...

Data reduction: the different types of sampling

We went through the data collection part of the course, now let's see how to reduce the data!

Data reduction: identifying outliers

Do you have a set of data and find some points within it strange? Do you believe that those points should not have been included or that they were co...

Normal distribution values ​​from probabilities

Today we will apply the normal distribution in different everyday business situations

Reduced normal distribution: how to transform

Let's now teach how statisticians memorized an entire distribution to facilitate probability calculations

Normal distribution and its history

Lots of problems calculating probability? Your problems are over, the Central Limit Theorem has come to help you!

Exponential Distribution: Probability Density Functions

In this article, explore the world of continuous probability functions with exponential distribution. Learn to model and analyze random phenomena wit...

Applying the Poisson Distribution in real life

Discover how the Poisson Distribution is applied in everyday situations, from traffic forecasts to incident analysis.

Bernoulli and Binomial Distribution: Real Life Applications

Explore how Bernoulli and Binomial distributions are fundamental in modeling discrete events in our reality, from scientific experiments to business s...

Multiplicative principle and simple combination

Some probabilities can be difficult to calculate, but for this we have some principles that will help us

How to calculate probability: Complementary, independent events and more

Today we will see the most basic concepts: what are events, the universe and how to calculate probability?

Statistics and probability: its history and why is it so difficult?

In previous courses, we saw about data collection and reduction. In this course we will now embark on analysis and modeling in Statistics

Measures of association or relationship: Linear Regression

Today we will describe in the form of a linear function the connection between two variables

Measures of association or relationship: correlation

We continue studying the relationship between two variables, now looking at the correlation

Measures of association or relationship: covariance

Let's look at the first measure we collect when we study the relationship between two variables: the covariance