- Introduction - Classical Statistics
- Normal distribution
- Estimating the mean of a Normal distribution when the distribution's standard deviation is known
- Estimating the mean of a Normal distribution when the distribution's standard deviation is unknown
- Estimating the standard deviation of a Normal distribution when the distribution's mean is known
- Estimating the standard deviation of a Normal distribution when the distribution's mean in unknown
- Derivations
- Classical statistics estimation of the Normal distribution mean when the standard deviation is known
- Classical statistics estimation of the Normal distribution mean when the standard deviation is not known
- Classical statistics estimation of the Normal distribution standard deviation when the mean is known
- Classical statistics estimation of the Normal distribution standard deviation when the mean is unknown

- Binomial process
- Poisson process
- Introduction - Poisson Process
- Poisson distribution method of estimating a rate - not recommended
- Normal approximation to the Poisson distribution method of estimating a rate lambda
- Cumulative confidence construction estimate for the Poisson intensity
- Estimating the mean of an Exponential distribution using Classical statistics
- Comparison of classical estimates of Poisson lambda and beta

- Estimating the parameters of a least squares regression
- Two sample problems

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