ranamanish674zu
commented
2 days ago Can you assign it to me? @animator
Full name: Manish Rana GitHub profile link: https://github.com/ranamanish674zu Email ID: manish.rana2021@vitbhopal.ac.in Approach for this project: Will use python What is your participant role?: GSSoC-2024 contributor
Can you add the label for GSSoC, i want to work on it Thanks.
The Chi-Square Test is a statistical method used to determine if there is a significant association between categorical variables. It compares the observed frequencies of categorical data with the frequencies that would be expected if the variables were independent. The test calculates a Chi-Square statistic, which measures the difference between observed and expected frequencies under the null hypothesis of independence. It is widely used in fields such as biology, social sciences, and market research to assess relationships between variables without assuming a specific distribution of the data. Chi-Square Goodness of Fit Test: Tests if a sample matches a population. Chi-Square Test for Independence: Tests if there is a significant association between two categorical variables.