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| Περιγραφική Στατιστική× | Έλεγχος Ανεξαρτησίας Chi-square του Pearson× | |
|---|---|---|
| Πεδίο | Στατιστική | Στατιστική |
| Οικογένεια | Hypothesis test | Hypothesis test |
| Έτος προέλευσης≠ | 1977 | 1900 |
| Δημιουργός≠ | John W. Tukey | Karl Pearson |
| Τύπος≠ | Summary procedure | Nonparametric association / goodness-of-fit |
| Θεμελιώδης πηγή≠ | Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165 | Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables. Philosophical Magazine, Series 5, 50(302), 157–175. link ↗ |
| Εναλλακτικές ονομασίες≠ | summary statistics, exploratory data summary, Betimsel İstatistik | chi-squared test, χ² test, Ki-Kare Testi, chi-square test |
| Συναφείς≠ | 6 | 3 |
| Σύνοψη≠ | Descriptive statistics is a set of procedures that numerically and visually summarises the essential characteristics of a dataset: central tendency (mean, median, mode), spread (standard deviation, interquartile range), shape (skewness, kurtosis), and frequency distributions. Systematised for applied data analysis by John W. Tukey in his 1977 work on Exploratory Data Analysis, descriptive statistics serves as the indispensable first step before any inferential or modelling procedure. | The chi-square test of independence is a nonparametric hypothesis test that determines whether two categorical variables are statistically associated or independent of one another. Introduced by Karl Pearson in 1900, it remains the standard procedure for analysing contingency tables and requires no assumption of normality — only that observations are independent and that expected cell frequencies are sufficiently large. |
| ScholarGateΣύνολο δεδομένων ↗ |
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