COMPSCI 70 Chapter Notes - Chapter 18: Confidence Interval, Central Limit Theorem, Random Variable
31 Jan 2018
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Clt method: (clt gives a more accurate estimate) Confidence interval for the mean of normal distributions. Determining the number of samples needed for a confidence interval. There is a high probability that our estimate is very close to the expected value (that our error/difference from the expected value is small) In general, we can look up the raw z-scores to use as the upper and lower bounds for a given confidence % in the standard normal distribution chart. 0. 05 is related to the confidence level of our estimate. How many n if we want to have 95% confidence that our estimate is within 0. 1 from the mean is the 95%-confidence interval for obtained using chebyshev"s inequality. , because the mean of is and standard deviation is. , which is equivalent to confidence - the amount of certainty that our estimate is with a certain range from the actual value of a parameter confidence level -
