Day 6 - Chi-Square Test & ANOVA Explained | Statistical Analysis of Categorical Data
Автор: SWIZOSOFT (OPC) PRIVATE LIMITED
Загружено: 2026-02-09
Просмотров: 14
Описание:
This session explored statistical techniques used to analyze categorical data relationships and compare multiple groups in real-world datasets. The class introduced the Chi-Square Test of Independence, demonstrating how contingency tables and hypothesis testing help determine whether categorical variables are associated.
The session then covered ANOVA (Analysis of Variance), explaining why repeated t-tests are statistically incorrect when comparing more than two groups. Concepts such as between-group vs. within-group variation, correct interpretation of p-values, and validation of statistical assumptions were discussed with practical Python demonstrations.
By the end of the session, learners developed a clear understanding of selecting appropriate statistical tests, interpreting analytical results responsibly, and applying Chi-Square and ANOVA methods for meaningful data-driven insights.
#DataScience #Statistics #Python #ChiSquare #ANOVA #Analytics
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
