Welcome to On Statistics
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Monte Carlo Simulations to Explore Uncertainty with Powerful Random Walks
Have you ever wanted to predict the future? While crystal balls and fortune tellers might offer intriguing (yet unreliable) solutions, science and engineering rely on a more robust approach: Monte Carlo simulations. These simulations leverage the power of randomness to tackle problems fraught with uncertainty, helping us make informed decisions in diverse fields ranging from…
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How to Calculate Spearman Rank Correlation in Python
Spearman rank correlation is a statistical method used to measure the strength and direction of association between two variables.
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How to Make a Bell Curve in Python
The normal distribution, also known as the Gaussian distribution, is a continuous probability distribution characterized by its bell-shaped curve.
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How to Calculate Conditional Probability in Python
Conditional probability is used to determine the probability of an event occurring given that another event has already occurred.
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How to Create a Population Pyramid in Python
A population pyramid provides valuable insights into the demographic structure of a population.
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How to Plot a Logistic Regression Curve in Python
Logistic regression is a statistical model used for binary classification problems, where the outcome can only take two possible values, such as 0 or 1. It is a type of regression analysis that uses a logistic function to model the relationship between the independent variables and the probability of the dependent variable being 1. In…
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How to Perform Logistic Regression Using Statsmodels in Python
Logistic regression is a popular machine learning algorithm used for binary classification problems. It is based on the statistical concept of maximum likelihood estimation and the logistic function. In this article, we will discuss how to perform logistic regression using the statsmodels library in Python. Understanding Logistic Regression Logistic regression is a statistical method for…
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How to Create a Scatterplot with a Regression Line in Python
A scatterplot is a graphical representation of the relationship between two continuous variables. It is a powerful tool for exploratory data analysis, helping to identify trends, patterns, and correlations. One common enhancement to a scatterplot is the addition of a regression line, which represents the linear relationship between the two variables. In this article, we…
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How to Use the Uniform Distribution in Python
The uniform distribution is a probability distribution where all outcomes in a given range have an equal probability of occurring.
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How to Calculate the Coefficient of Variation in Python
The Coefficient of Variation (CV) is a measure of the dispersion or spread of a set of data from the mean. It is defined as the ratio of the standard deviation to the mean, expressed as a percentage. The CV is a dimensionless number and is used to compare the dispersion of different sets of…
