Usporedite metode
Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.
| Deskriptivna statistika× | Pearsonov hi-kvadrat test nezavisnosti× | |
|---|---|---|
| Područje | Statistika | Statistika |
| Obitelj | Hypothesis test | Hypothesis test |
| Godina nastanka≠ | 1977 | 1900 |
| Tvorac≠ | John W. Tukey | Karl Pearson |
| Vrsta≠ | Summary procedure | Nonparametric association / goodness-of-fit |
| Temeljni izvor≠ | 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 ↗ |
| Drugi nazivi≠ | summary statistics, exploratory data summary, Betimsel İstatistik | chi-squared test, χ² test, Ki-Kare Testi, chi-square test |
| Srodne≠ | 6 | 3 |
| Sažetak≠ | 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. |
| ScholarGateSkup podataka ↗ |
|
|