A confidence interval is an interval which has a known and controlled probability (generally 95% or 99%) to contain the true value.

A range that has a given probability that it will contain the population parameter it is intended to estimate.

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).

A range of possible values for an unknown number (such as a test taker's true score), computed in such a way as to have a specified probability of including the unknown number. That specified probability is called the "confidence level" and is usually high, typically 90 or 95.

(Also called fiducial interval, confidence band.) A range of values (a1 < a < a2) determined from a sample by definite rules so chosen that, in repeated random samples from the hypothesized popu [..]

A way of expressing how certain we are about the findings from a study, using statistics. It gives a range of results that is likely to include the 'true' value for the population. A wide co [..]

A confidence interval for a parameter is a random interval constructed from data in such a way that the probability that the interval contains the true value of the parameter can be specified before t [..]

The level of certainty that the true score falls within a specific range. The smaller the range the less the certainty.

A range of values for a parameter of interest with a specified probability of including the true value of the parameter. Thus the confidence interval or CI is used to indicate the reliability of an estimate for the parameter of interest. The specified probability is called the confidence level, usually expressed as a percentage; thus one speaks of [..]

For a certain value of a variable in a sample, a confidence interval is a range of values within which the value of that variable in the population is thought to lie with a specified probability For t [..]

This is a range that’s computed for the observed value that should include the “real” value 90% or 95% of the time. To determine this range or confidence interval, you must first compute the standard [..]

a fluctuating scale of values, utilized for approximating the value of a populace quantity from information acquired in a test example, with a predetermined, steady likelihood that the quotient will h [..]

That portion of a distribution which is expected to contain the mean value a certain percentage of the time.

A range of values that has a specified probability of containing the rate or trend. The 95% (p-value = .05) and 99% (p-value = .01) confidence intervals are the most commonly used.

An estimated range of values which is likely to include an unknown population parameter. The 95% (p-value = .05) and 99% (p-value = .01) confidence intervals are the most commonly used. If an estimate [..]

The range of parameter values that do not deviate significantly from a null hypothesis

A statistical term to describe a range within a distribution where you would expect most of the data to lie; for example, expecting that 95% of adults will be between 1.4m and 1.9m tall.

statistics - a probability-based estimate of the standard deviation; the interval between the upper and lower confidence limits; for normal data distributions, confidence limits may be calculated using the t-distribution value at a given confidence level, or α

A range of estimated values that is the best guess as to the true population's value. Confidence intervals are usually calculated for the sample mean. In behavioral research, the acceptable level [..]

A confidence interval (or confidence limits) refers to a range of values within which a particular population parameter (e.g. mean, standard deviation, etc.) has a specified probability of lying, as e [..]

Range between confidence limits, which reflects how confident you can be that a metric calculated based on your data set will lie within these limits (see also FinanceIsland's basic statistics tu [..]

The range around a study’s result within which we would expect the true value to lie. CIs account for the sampling error between the study population and the wider population the study is supposed to represent. See p11

A confidence interval is an estimated range of values in which all data (results) are likely to lie. For a given treatment effect measured in a trial on a sample of a population, the confidence interv [..]

Quantifies the uncertainty in measurement. It is usually reported as a 95% CI which is the range of values within which we can be 95% sure that the true value for the whole population lies. For example, for an NNT of 10 with a 95% CI of 5 to 15, we would have 95% confidence that the true NNT value lies between 5 and 15.

A statistical measure to quantify uncertainty by bracketing a sample estimate by a range of values within which the estimate is expected to occur for a specified level of significance. Such assessment [..]

An estimate using a range of values (an interval) to predict the expected value of an unknown parameter, accompanied by a specific level of confidence, or probability, that the estimate will be correc [..]

Figures reported on the My School website can be subject to different kinds of error, including measurement and sampling error. The possible size of that error is estimated and used to create a confidence interval around many of the figures. That confidence interval indicates a range that is likely to capture the true value of the figure (i.e. if t [..]

a statistical measure of certainty. A CI defines the range within which we can be certain that a result is not due to chance alone.

A range of values for a variable of interest, e.g., a rate, constructed so that this range has a specified Probability of including the true value of the variable.

A confidence interval around a point estimate of a variable is a numeric interval that is likely to contain the true value of the variable. The probability that the interval contains the true value must always be given; traditionally, this is 95% or 99%, although in some commercial applications, the value may be lower.

A measure of the uncertainty around the main finding of a statistical analysis. Estimates of unknown quantities, such as the odds ratio comparing an experimental intervention with a control, are usually presented as a point estimate and a 95% confidence interval. This means that if someone were to keep repeating a study in other samples from the sa [..]

A range of values for a variable of interest, e.g., a rate, constructed so that this range has a specified probability of including the true value of the variable. The specified probability is called [..]

A rule used to construct a random interval so that a certain percentage of all data sets, determined by the confidence level, yields an interval that contains the population value.

Quantifies the uncertainty in measurement. It is the range of values within which we can be 95% sure that the true value for the whole population lies.

The range of numerical values in which we can be confident (to a computed probability, such as 90 or 95%) that the population value being estimated will be found. Confidence intervals indicate the str [..]

A range that contains the true population prevalence estimates a specified percentage of the time, if repeated sampling of the population were performed. The 95% confidence interval (CI) is a range th [..]

Usually calculated as "95% confidence intervals", indicating that there is a 95% probability that the effect of treatment in the whole population lies within the stated range. The CI is affe [..]

Although various types of confidence intervals may be reported in the results section of a research report, in its most basic form a confidence interval refers to a range of numerical values that has a certain probability of capturing the true population parameter under investigation in a study.

A range of values for a variable of interest (for example, a rate) constructed such that this range has a specified probability of including the true value of the variable. The specified probability i [..]

For statistical estimations, the confidence interval defines an upper and lower limit within which the true (population) value is expected to come to lie with a defined probability.

A range of values that, considering all possible samples, has some designated probability of including the true population value [ISERN]

A measure of the uncertainty around the main finding of a statistical analysis.  Estimates of unknown quantities, such as the odds ratio comparing an experimental intervention with a control, are usua [..]

The confidence intervals for specific statistics (e.g., means, or regression lines) give us a range of values around the statistic where the &quot;true&quot; (population) statistic can be expe [..]