Respuesta :
A 99% confidence level means that 95% of the intervals would include the parameter.
Explanation:
In statistics, a confidence level is one of the types of estimate that has been calculated from the statistics of the observed data. This shows and calculates a range of the values which are possible for an unknown parameter.
The interval has an associated confidence level with it that the true parameter is in the proposed range of the values which are possible for an unknown parameter. A 99% confidence interval will be wider than a 95% confidence interval because to be more confident that the true population value falls within the interval we will need to allow more potential values within the interval.
A confidence level is a form of estimate that has been computed from the statistics of the observed data in statistics. This displays and estimates a range of probable values for an unknown parameter.
The reliability associated with the real parameter in the suggested range of values is added to the interval.
In comparison to the 95 % confidence interval, the level of 99 percent certainty has a larger range. The population is subjected to the maximum and lowest interval durations with the level of enhanced intervals and intervals in order to gain a greater degree of confidence.
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