statistical dispersion
Főnév
statistical dispersion (tsz. statistical dispersions)
Statistical dispersion refers to the extent to which a set of values varies or spreads out. It provides insights into the variability or diversity of the data set. Common measures of statistical dispersion include: 1. Range: The difference between the maximum and minimum values in a dataset. It gives a basic sense of spread but is sensitive to outliers. 2. Variance: Measures the average squared deviation of each data point from the mean. A higher variance indicates a wider spread of values. where is the number of observations, is each value, and is the mean. 3. Standard Deviation: The square root of the variance, providing a measure of dispersion in the same units as the data. It is more interpretable than variance. 4. Interquartile Range (IQR): The range of the middle 50% of data, calculated as the difference between the first quartile (Q1) and the third quartile (Q3). It is less affected by outliers. 5. Mean Absolute Deviation (MAD): The average of the absolute deviations from the mean, providing another measure of variability. Understanding these measures helps in analyzing data distributions, making comparisons, and drawing inferences.
- statistical dispersion - Szótár.net (en-hu)
- statistical dispersion - Sztaki (en-hu)
- statistical dispersion - Merriam–Webster
- statistical dispersion - Cambridge
- statistical dispersion - WordNet
- statistical dispersion - Яндекс (en-ru)
- statistical dispersion - Google (en-hu)
- statistical dispersion - Wikidata
- statistical dispersion - Wikipédia (angol)