Applied statistics/Related Articles: Difference between revisions
Jump to navigation
Jump to search
imported>Nick Gardner |
imported>Nick Gardner |
||
| Line 3: | Line 3: | ||
{{r|Confidence level}} | {{r|Confidence level}} | ||
{{r|Deterministic}} | {{r|Deterministic}} | ||
{{r|False positive rate}} | |||
{{r|False negative rate}} | |||
{{r|Mean}} | {{r|Mean}} | ||
{{r|Median (statistics)}} | {{r|Median (statistics)}} | ||
| Line 8: | Line 10: | ||
{{r|Normal distribution}} | {{r|Normal distribution}} | ||
{{r|Population (statistics)}} | {{r|Population (statistics)}} | ||
{{r|Prevalence}} | |||
{{r|Sample (statistics)}} | {{r|Sample (statistics)}} | ||
{{r|Standard deviation}} | {{r|Standard deviation}} | ||
Revision as of 04:27, 29 June 2009
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]
- False positive rate [r]: the proportion of tests that yield a positive result when the true result is negative. [e]
- False negative rate [r]: the proportion of tests that yield a negative result when the true result is positive. [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]
- Prevalence [r]: The total number of cases of a given disease in a specified population at a designated time. It is differentiated from incidence, which refers to the number of new cases in the population at a given time. [e]
- Sample (statistics) [r]: An instance of a random variable used to estimate one or several of its parameters. [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]