Question: Given a one-dimensional probability density function, describe how you would find the 95% confidence interval. Explain what inverse variance weighting is and why it

Given a one-dimensional probability density function, describe how you would find the

Given a one-dimensional probability density function, describe how you would find the 95% confidence interval. Explain what inverse variance weighting is and why it is commonly useful. Given a data set {i:0

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In statistics inversevariance weighting is a method of aggregating two or more random variables to minimize the variance of the weighted average Each random variable is weighted in inverse proportion ... View full answer

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