Regression analysis is an important tool in statistics and data science, widely used for data prediction and analysis across various industries and research fields. By modeling and
Probability distributions are a core concept in statistics and data science. This article covers their basic concepts and history, the main types and their characteristics, their m
Inferential statistics is a methodology that plays a very important role in analyzing and interpreting data. It is a statistical technique that uses sample data to draw conclusions
Data analysis plays an essential role in business and research. Insights gained through data analysis play an important role in optimizing decision-making, improving performance, a
What the null and alternative hypotheses are, how to set them up for hypothesis testing, how significance level and statistical power shape the results, and three worked examples f
What confidence levels and confidence intervals mean and how they differ, how a confidence interval is calculated from the sample mean, standard error, and critical value, how they
This article explains the concept and definition of variables in statistics, the difference between independent and dependent variables with examples from various fields, the disti
Public opinion polls are powerful tools for collecting and analyzing our thoughts and opinions in modern society. They play an important role across politics, the economy, and soci
An easy introduction to non-probability sampling in statistics, which selects samples based on the researcher's judgment or convenience, covering convenience, judgment (purposive),
In this session, I would like to prepare material on how to create a questionnaire and the precautions to take. Generally, a questionnaire is a set of questions that a researcher u
Probability sampling randomly selects cases so that every member of a population has a known probability greater than zero of being chosen for the sample; these probabilities need
A scale assigns numbers to the attributes of people or objects so they can be expressed statistically. This article explains the four types of scales widely used in sociology, psyc