{"id":9429,"date":"2024-05-30T11:28:46","date_gmt":"2024-05-30T11:28:46","guid":{"rendered":"https:\/\/researcher.life\/blog\/?p=9429"},"modified":"2024-07-14T20:00:32","modified_gmt":"2024-07-14T20:00:32","slug":"what-is-confidence-interval-how-to-calculate-it-with-examples","status":"publish","type":"post","link":"https:\/\/researcher.life\/blog\/article\/what-is-confidence-interval-how-to-calculate-it-with-examples\/","title":{"rendered":"What is Confidence Interval and How to Calculate it (with Examples)"},"content":{"rendered":"

\"Confidence<\/p>\n

One use of statistical analysis is to make inferences from data samples to larger populations. Point estimation uses a sample statistic to estimate an unknown population parameter, such as the mean, proportion, or standard deviation. The <\/span>confidence interval<\/span> is an estimate that contains a range of values for the population parameter and represents the uncertainty of a sample statistic compared to the true population value.<\/span>1<\/span> They are essential tools in statistics for estimating population parameters, quantifying uncertainty, making decisions, hypothesis testing, comparisons, communicating results, and sample size determination. They provide a comprehensive framework for statistical inference and contribute to the robustness and reliability of statistical analyses.<\/span>\u00a0<\/span><\/p>\n

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