Artículos y noticias sobre Estadística
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
Artículos de tendencia
Statsmodels
How to do Regression with Statsmodels in Python
Sample Size
Calculating the Perfect Sample Size for your research
Normal Distribution
Normal distribution and its history
Asymmetry and kurtosis
Asymmetry and kurtosis measurements
Take the average
Position measurements: arithmetic mean, mode and median
Presenting statistics
Data, information and knowledge: starting in Statistics
ARIMA and Weather
Regression Models over Time: ARIMA and Time Series
Sampling
Data reduction: the different types of sampling
Reverting to normal
Normal distribution values from probabilities
Dist Expo
Exponential Distribution: Probability Density Functions
Linear regression
Parameters to evaluate a simple linear regression model: R^2 and SEE
IC
Statistical inference: confidence interval
Reduced Normal
Reduced normal distribution: how to transform
Probability history
Statistics and probability: its history and why is it so difficult?
Let's collect
Frequency distribution: collecting data in the field
Pandas Vs Distribution
Statistics in Python: Using Pandas to understand your distribution
Outliers
Data reduction: identifying outliers
Binomial in Life
Bernoulli and Binomial Distribution: Real Life Applications
Combination
Multiplicative principle and simple combination
Cause and Correlation
Two-Dimensional Analysis: Cause or Correlation?
How much disperses
Dispersion measures: variance and standard deviation
Stats in Scipy
Calculating probabilities with Scipy in Python
Tails in the Test
Different Tails in Hypothesis Testing
Type 1 and 2 Errors























