statistics

Linear Regression vs Correlation: Examples

Linear regression and correlation are fundamental concepts in statistics, often used in data analysis to understand the relationship between two…

1 year ago

Chebyshev’s Theorem: Formula & Examples

Chebyshev’s theorem is a fundamental concept in statistics that allows us to determine the probability of data values falling within…

1 year ago

Standard Deviation vs Standard Error: Formula, Examples

Understanding the differences between standard deviation and standard error is crucial for anyone involved in statistical analysis or research. These…

1 year ago

Coefficient of Variation vs Standard Deviation

Last updated: 28th Nov, 2023 Understanding the difference between coefficient of variation (CV) and standard deviation (SD) is essential for statisticians…

1 year ago

Z-test vs T-test vs Chi-square test: Differences, Examples

In the world of data science, understanding the differences between various statistical tests is crucial for accurate data analysis. Three…

1 year ago

Different Types of Statistical Tests: Concepts

Last updated: 18th Nov, 2023 Statistical tests are an important part of data analysis. They help us understand the data…

1 year ago

Types & Uses of Moments in Statistics

Last updated: 18th Nov, 2023 In statistics, moments are measures of the shape and variability of a data set. They…

1 year ago

Two samples Z-test for Means: Formula & Examples

Last updated: 21st Nov, 2023 Statistical hypothesis testing is an essential tool in inferential statistics that enables researchers to make…

1 year ago

Histogram Plots using Matplotlib & Pandas: Python

Last updated: 16th Nov, 2023 Histograms are a graphical representation of the distribution of data. In Python, there are several…

1 year ago

Maximum Likelihood Estimation: Concepts, Examples

Maximum Likelihood Estimation (MLE) is a fundamental statistical method for estimating the parameters of a statistical model that make the…

1 year ago

Wilcoxon Signed Rank Test: Concepts, Examples

How can data scientists accurately analyze data when faced with non-normal distributions or small sample sizes? This is a challenge…

1 year ago

Minimum Description Length (MDL): Formula, Examples

Learning the concepts of Minimum Description Length (MDL) is valuable for several reasons, especially for those involved in statistics, machine…

1 year ago

Pearson vs Spearman: Choosing the Right Correlation Coefficient

Are you as a data scientist trying to decipher relationship between two or more variables within vast datasets to solve…

1 year ago

Pearson Correlation Coefficient: Formula, Examples

In the world of data science, understanding the relationship between variables is crucial for making informed decisions or building accurate…

1 year ago

t-distribution vs Normal distribution: Differences, Examples

Understanding the differences between the t-distribution and the normal distribution is crucial for anyone delving into the world of statistics,…

1 year ago

Insurance & Linear Regression Model Example

Ever wondered how insurance companies determine the premiums you pay for your health insurance? Predicting insurance premiums is more than…

1 year ago