Chi-squared test
The chi-squared test is a statistical method used to determine if there is a significant difference between the expected and observed frequencies in categorical data. For example, if you surveyed people about their favorite ice cream flavors, you could use this test to see if the number of responses matches what you expected based on market research. If the observed results differ significantly from what was expected, the chi-squared test suggests that something other than chance might be influencing the results. It helps researchers understand relationships and patterns in data, guiding further investigation.
Additional Insights
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The Chi-Squared Test is a statistical method used to determine if there is a significant difference between the expected and observed frequencies in categorical data. For instance, if you conduct a survey about favorite ice cream flavors, the test helps identify whether people's preferences match what you'd expect based on random choice. By comparing how often each flavor is chosen versus what you would expect if choices were random, the test indicates whether any differences are likely due to chance or if they suggest a genuine preference. It’s commonly used in various fields to analyze categorical data.