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Confidence Intervals Explained by Xyza Faye Regalado is a document available to read on EtoBox.
1) A 95% confidence interval means that if we conducted the same experiment repeatedly, 95% of the confidence intervals calculated would contain the true population mean. The other 5% would not contain the true mean. 2) A confidence interval provides a range of values (calculated from the sample mean and standard deviation) within which we can be fairly certain the true population mean lies. 3) Common factors used to calculate a confidence interval are the sample mean, standard deviation, sample size, and
- Author
- Xyza Faye Regalado
- Language
- EN