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About the subject:
Confidence interval of a parameter is an interval where it has a specified probability that the value of the parameter lies inside it. Standard confidence level is fixed as 95%. If it is said that an interval is 95% confidence interval of a fixed parameter, then it means that if we use the same sampling method to select 100 different samples of the data and computed an interval estimate of the fixed parameter for each sample, we would expect the true population parameter to fall within the interval estimates 95 times. Our confidence intervals parameter assignment help team explains how confidence interval is the core part of hypothesis testing in Statistical Analysis.
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