Confidence interval estimate formula,the secret cinema review uk,practice of buddhism in the united states quiz,teaching meditation to middle schoolers into - Test Out

Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. I have a large population of size $n$ from an unknown continuous random variable $X$, and I do not know the underlying distribution of $X$.
I have found the following discussion in Wikipedia which is independent of the number of population.
I have also found some methods to determine sample size for data to be analyzed by nonparametric don't have to make any assumption about the distribution of the values. There is a substantial difference between the answer to this question for a single value of $c$ and an answer that is valid for more than one value.
About your update: yes, this is what I said, if you count the sample values $x_i$ such that $x_i \leq c$ then this count has a binomial distribution.

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Is it possible to have a secondary managed DNS provider to quickly delegate to when DDOS attack on our *primary* external DNS provider happens? Given a constant number $c$, I want to determine the minimum sample size I need to estimate the probability $P(X \le c)$ given a confidence level, $p_c$, and confidence interval, $I_c$ (I am not sure if we need them!
This is a sequential method that adaptively selects sample size to guarantee a certain confidence level for a prescribed relative confidence interval.
The required sample size $b$ (I'm using $b$ to distinguish it from $n$ because you already set your population size as $n$ in the problem statement) is determined by $$b \geq \left( {1 \over 2 \epsilon^2 } \right) \mathrm{ln} \left( {2 \over \alpha} \right),$$ where $\epsilon$ is how close you want your empirical cdf to be and $1-\alpha$ is the confidence level. Sorry I am not good at statistic, I have another question; Can we say ? is confidence interval?

Now I am confused if these nonparametric methods can be used to solve my problem or the method I found in Wikipedia is the correct way to solve my problem, or there exists a better solution. So, for example, this method can assure that the estimated probability does not deviate from the true probability by more than, say, 10% with 95% confidence.

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