One-Sided Confidence Interval

AKA: One-Sided Confidence Bound.
Example(s):
Counter-Example(s):
- Two-Sided Confidence Interval.
See: Statistical Test, Statistical Hypothesis, Statistical Estimation, T-test, Standard Deviation, Mean.

References

(NIST, 2021) ⇒ (2021). "Confidence Limits for the Mean". In: NIST/SEMATECH e-Handbook of Statistical Methods, Retrieved:2021-09-19.
- QUOTE: Confidence limits for the mean (Snedecor and Cochran, 1989) are an interval estimate for the mean. Interval estimates are often desirable because the estimate of the mean varies from sample to sample. Instead of a single estimate for the mean, a confidence interval generates a lower and upper limit for the mean. The interval estimate gives an indication of how much uncertainty there is in our estimate of the true mean. The narrower the interval, the more precise is our estimate.

(ReliaWiki, 2021) ⇒ http://reliawiki.org/index.php/Confidence_Bounds, Retrieved:2021-09-19.
- QUOTE: One-Sided Bounds: One-sided confidence bounds are essentially an open-ended version of two-sided bounds. A one-sided bound defines the point where a certain percentage of the population is either higher or lower than the defined point. This means that there are two types of one-sided bounds: upper and lower. An upper one-sided bound defines a point that a certain percentage of the population is less than. Conversely, a lower one-sided bound defines a point that a specified percentage of the population is greater than.