Applied statistics/Related Articles
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Glossary
- Confidence interval [r]: the range of a random variable, such as the mean of a sample, that — with a specified probability — contains the true value for the population. [e]
- Confidence level [r]: the probability that the true value of a random variable lies within the estimated (or predicted) confidence interval. [e]
- Deterministic [r]: the predictable effect of known causes (used in contrast to stochastic). [e]
- Mean [r]: e.g. "arithmetic mean", being the sum of n observations divided by n, or "geometric mean", being the nth root of the product of n observations. [e]
- Median (statistics) [r]: The value of a numerical or linearly ordered sample for which one half of the observations lie above and one half lie below that value. [e]
- Mode (statistics) [r]: the most frequently ocurring value. [e]
- Normal distribution [r]: a symmetrical bell-shaped probability distribution representing the frequency of random variations of a quantity from its mean. [e]
- Population (statistics) [r]: the totality of the people or things that constitute the category that is the subject of a statistical investigation, and from which a sample is drawn. [e]
- Standard deviation [r]: A statistical measure for the fluctuation of a random variable about its mean value (the square root of the variance). [e]
- Standard error [r]: the standard deviation of the variation of a statistic that would occur if the same sampling method were applied repeatedly: for example, the standard error of the mean is measured as the standard deviation of the observed (sample) mean as measured in independent samples of a given size. [e]
- Stochastic [r]: of a random nature (sometimes contrasted with deterministic). [e]
- Variance [r]: A statistical measure of the variability of a random quantity (defined as the mean squared deviation from the mean value). [e]