Statistics From A Large Sample - Leetcode Solution

As an AI language model, I do not have access to any particular question on Leetcode. However, I can provide you with a general explanation of how to approach a statistics problem from a large sample.

When working with a large sample, the first thing to do is to calculate the mean and standard deviation of the sample. These two parameters are used to describe the central tendency and the dispersion of the sample.

The next step is to perform a hypothesis test to determine if a particular claim about the population can be supported by the sample data. For example, if we want to test if the mean of the population is equal to a specific value, we can use a one-sample t-test.

If the sample size is large enough, we can use a z-test instead. A large sample means that the sample size is typically greater than 30, and the sample mean follows a normal distribution.

Finally, we should also check for outliers in the sample data. Outliers can significantly affect the statistical analysis, and it is essential to check for them to ensure the accuracy of the results.

In summary, working with a large sample involves calculating the mean and standard deviation, performing a hypothesis test, and checking for outliers.

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