Search
- Filter Results
- Location
- Classification
- Include attachments
- https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/08%3A_Confidence_Intervals/8.01%3A_Introduction_to_Confidence_IntervalsThe empirical rule, which applies to the normal distribution, says that in approximately 95% of the samples, the sample mean, ¯x, will be within two standard deviations of the population ...The empirical rule, which applies to the normal distribution, says that in approximately 95% of the samples, the sample mean, ¯x, will be within two standard deviations of the population mean \mu. Where ¯x is the sample mean. Zα is determined by the level of confidence desired by the analyst, and σ/√n is the standard deviation of the sampling distribution for means given to us by the Central Limit Theorem.
- https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/06%3A_Interval_Estimates/6.01%3A_Introduction_to_Confidence_IntervalsThe Empirical Rule, which applies to the normal distribution, says that in approximately 95% of the samples, the sample mean, ¯x, will be within two standard deviations of the population ...The Empirical Rule, which applies to the normal distribution, says that in approximately 95% of the samples, the sample mean, ¯x, will be within two standard deviations of the population mean μ. The critical value, zα/2, is determined by the level of confidence desired by the analyst, and σ/√n is the standard deviation of the sampling distribution for means given to us by the Central Limit Theorem.
- https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/08%3A_Confidence_Intervals/8.01%3A_Introduction_to_Confidence_IntervalsThe empirical rule, which applies to the normal distribution, says that in approximately 95% of the samples, the sample mean, ¯x, will be within two standard deviations of the population ...The empirical rule, which applies to the normal distribution, says that in approximately 95% of the samples, the sample mean, ¯x, will be within two standard deviations of the population mean \mu. Where ¯x is the sample mean. Zα is determined by the level of confidence desired by the analyst, and σ/√n is the standard deviation of the sampling distribution for means given to us by the Central Limit Theorem.
