Some examples and use cases from the internet:

Some examples and use cases from the internet:

• 95 % confidence interval for the LD50 (where this can be provided),
• length of the confidence interval for each indicator shall not exceed the threshold provided in paragraph 3 unless an effective sample size larger than 5000 individuals is required at national level.
• The net sample (excluding unit non
• A higher confidence interval for OTC derivatives is typically justified because those products can suffer from less reliable pricing and shorter runs of historical data on which to base exposure estimations.
• In calculating a confidence interval for any ECx the variability among vessels should be taken into account, or it should be shown that this variability is so small that it can be ignored.
• The CONFIDENCE() function returns the confidence interval for a population mean.
• The half
• response) should provide estimates within a 95 % confidence interval for a set of indicators listed in paragraph 3.

• In the case of livestock surveys, the sampling errors for the results of each Member State shall not exceed (with a confidence interval of 68 %):
• For consignments containing more than 130 packages, a sample of 65 packages randomly selected from the consignment must be inspected to achieve a 95 % confidence interval of detecting 5 % incidence of disease.
• In the first step the error value of the power is to be determined as a standard deviation being equivalent to a confidence interval of 68 %.
• 95 % confidence interval of the geometric mean.
• for serological testing on a number of pigs sufficient to detect a prevalence of swine vesicular disease of 5 % with a confidence interval of 95 %;
• 95 % confidence interval of the 95th percentile.
• It is also recommended to calculate the 95 % confidence interval of the mean value.
• The position of vessels shall be determined with a margin of error of less than 500 metres and a confidence interval of 99 %.