Chi-Squared Test Analysis in Google Sheets

Conducting a chi-squared test using Google Sheets provides valuable insights into data by assessing the relationship between categorical variables. This statistical analysis helps determine whether observed frequencies significantly differ from expected frequencies, indicating the potential existence of a relationship or association between variables. The test output includes a chi-squared statistic, degrees of freedom, and a p-value, which are crucial for interpreting the statistical significance of the results. By leveraging Google Sheets' user-friendly interface and built-in functions, researchers and data analysts can effortlessly perform chi-squared tests, making this tool accessible for a wide range of data analysis needs.