Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uchanganuzi Imara wa Marudio× | Uchanganuzi wa Marudio× | |
|---|---|---|
| Nyanja | Takwimu | Takwimu |
| Familia | Hypothesis test | Hypothesis test |
| Mwaka wa asili≠ | 1970s–1980s (foundations); applied to frequency analysis throughout the 1990s–2000s | 19th century |
| Mwanzilishi≠ | Huber, Hampel, Wilcox and the robust statistics tradition | Classical statistics (no single inventor) |
| Aina≠ | Robust descriptive and inferential procedure | Descriptive summary |
| Chanzo asilia≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE. ISBN: 978-1446249185 |
| Majina mbadala≠ | robust count analysis, outlier-resistant frequency analysis, robust distributional analysis | frequency distribution, frequency table, tally analysis, count analysis |
| Zinazohusiana | 3 | 3 |
| Muhtasari≠ | Robust frequency analysis applies outlier-resistant estimation and resampling or exact methods to the counting and tabulation of categorical data, reducing the distortion caused by extreme observations, sparse cells, or violations of large-sample assumptions that can make conventional frequency summaries misleading. | Frequency analysis is a fundamental descriptive technique that tallies how often each distinct value or category appears in a dataset. It produces absolute counts, relative percentages, and cumulative frequencies, giving an immediate picture of how observations are distributed across categories. It is the natural first step when exploring categorical or discrete variables before applying inferential tests. |
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