In statistics, a confidence interval (CI) is a measure of the reliability of an estimate. It is a type of interval estimate of a population parameter. It is an observed interval (i.e. it is calculated from the observations), in principle different from sample to sample, that frequently includes the parameter of interest if the experiment is repeat...
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Term used in parametric statistics to specify the margin of error associated with a particular survey estimate for a given level of significance. For example, 95% confidence interval denotes the range of values surrounding the survey estimate within which there is a 95% probability that the true population value will lie. Depending on the level of ...
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A confidence interval identifies a range of values that includes the true population value of a particular characteristic at a specified probability level (usually 95%)
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(from the article `interval estimation`) ...most likely to be located. Intervals are commonly chosen such that the parameter falls within with a 95 or 99 percent probability, called the ... ...are accompanied by a statement concerning the degree of confidence that the interval contains the population parameter being estimated. Interval ...
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A confidence interval is an interval used to estimate the likely size of a population parameter. It gives an estimated range of values (calculated from a given set of sample data) that has a specified probability of containing the parameter being estimated. Most commonly used are the 95% and 99% confidence intervals that have .95 and .99 probabilit...
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An interval which has a specified probability of containing a given parameter or characteristic.
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A range of values for a variable of interest, constructed so that this range has a specified probability of including the true value of the variable. ... (05 Mar 2000) ...
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an estimated statistical interval for a parameter, giving a range of values that may contain the parameter and the degree of confidence that it is in fact there.
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The estimates provided by a sample survey deviate slightly from the results that would have been obtained by an exhaustive survey. If the sample is random, the notion of confidence interval can give an idea of that deviation. When a 95% confidence interval is given for a number, this means that the interval has a 95% chance of containing the value ...
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An interval computed from sample values. Intervals so constructed will straddle the estimated parameter 100(1-_)% of the time in repeated sampling. The quantity (1-_) is called the confidence coefficient.
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(CI) Type: Term Definitions: 1. a range of values for a variable of interest, constructed so that this range has a specified probability of including the true value of the variable.
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A confidence interval (CI) expresses the precision of an estimate and is often presented alongside the results of a study (usually the 95% confidence interval). The CI shows the range within which we are confident that the true result from a population will lie 95% of the time. The narrower the interval, the more precise the estimate. There is boun...
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The range of values that includes, with a stated probability (e.g. 95%), the actual population descriptor of interest.
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The range around a numeric statistical value obtained from a sample, within which the actual, corresponding value for the population is likely to fall, at a given level of probability (Alreck, 444).
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The range around a numeric statistical value obtained from a sample, within which the actual, corresponding value for the population is likely to fall, at a given level of probability (Alreck, 444).
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Range of values that researchers believe an experimental result lies between. What they are really saying with a 95% confidence interval is that while their result might not be exactly right, they are 95% sure that the real result lies between the upper and lower limits they have given.
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the interval bounded by confidence limits. Cf. interval estimation.
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