So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Phân tích Bảng chéo× | Kiểm định Chi-bình phương độc lập× | |
|---|---|---|
| Lĩnh vực | Thống kê | Thống kê |
| Họ | Hypothesis test | Hypothesis test |
| Năm ra đời | 1900 | 1900 |
| Người khởi xướng | Karl Pearson | Karl Pearson |
| Loại≠ | Descriptive and inferential categorical analysis | Nonparametric test of association |
| Công trình gốc | Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175. DOI ↗ | Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175. DOI ↗ |
| Tên gọi khác | crosstab, contingency table analysis, two-way frequency table, bivariate frequency analysis | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi |
| Liên quan≠ | 5 | 2 |
| Tóm tắt≠ | Cross-tabulation analysis (contingency table analysis) is a foundational descriptive and inferential technique for examining the relationship between two or more categorical variables. It arranges observed frequencies into a table of rows and columns, enabling visual inspection of patterns and formal chi-square testing of independence between the variables. | The chi-square test of independence is a nonparametric hypothesis test that examines whether two categorical variables are associated by comparing observed and expected frequencies in a cross-tabulation. It rests on the chi-square criterion introduced by Karl Pearson in 1900. |
| ScholarGateBộ dữ liệu ↗ |
|
|