Probability And Statistics: Confidence Interval

In statistics, a confidence interval (CI) is an interval estimate of a population parameter. Instead of estimating the parameter by a single value, an interval of likely estimates is given. How likely the estimates are is determined by the confidence coefficient. The more likely it is for the interval to contain the parameter, the wider the interval will be.

Confidence intervals are used to indicate the reliability of an estimate


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The Probability and Statistics Made Easy tutorial covers:
Population and Data; Frequency and Distributions; Visual Display of Data; Mean
Mode; Median and Midrange; Means, Medians and Modes of Grouped Data; Variance and Standard Deviation; Sample Space and Events
Random Variables and Distributions; Continuous Random Variables; Expectations of Random Variables; Variance of Random Variables
Independent Random Variables; Binomial Distribution; Poisson Distribution; Tchebychev's Approximation
Normal Distribution and Distribution and Standardization; Central Limit Theorem; Normal Approximation to Binomial; Sampling Distribution of Mean

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