The discussion revolves around finding a confidence interval for a set of numbers, specifically focusing on uniform and Bernoulli distributions. The original poster has already calculated the mean and standard deviation but is seeking guidance on how to compute the confidence interval without a provided formula.
Some participants have offered insights into using Z-scores for calculating confidence intervals, while others are questioning the applicability of these methods to uniform and Bernoulli distributions. There is no explicit consensus on the approach to take for these specific distributions, indicating an ongoing exploration of ideas.
The original poster has clarified the need for confidence intervals specifically for uniform and Bernoulli distributions, which may not follow the same methods as normal distributions. This introduces additional complexity to the discussion.
cloud360 said:write it in terms of the mean (that u shaped thing in the normalization eqation), choose the correct value of Z for the confidence interval they give.
95% confidence interval ==> z=1.96 (for 2 tails)
98% confidence is something like , i don't know off by heart, check the normal table
lildrea88 said:i need a confidence interval for the uniform and bernoulli distribution...sorry i should have said that before