A confidence interval is a range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter. The interval has an associated confidence level that quantifies the level of confidence that the parameter lies within the interval.
The confidence level, often denoted as the confidence coefficient, is the probability that a range of numbers calculated from a sample of a population includes the value of the population parameter being estimated.
An estimate refers to a value that approximates an unknown parameter in various fields, including everyday usage and statistical analysis. It could be a single value or range derived from a sample population.
Hypothesis testing is a statistical procedure that involves making a formal decision about whether a statement (hypothesis) about a population parameter should be accepted or rejected based on sample data.
An unbiased estimator is a statistical term referring to a method of estimating a population parameter, where the average of several random samples results in an estimate equal to the population parameter itself.
