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Major step is to set the Weibull shape parameter at 3.6 to approximate the Normal.

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Q: How do you model a weibull distribution using mean and variance?
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In a study using 9 samples and in which the population variance is unknown the distribution that should be used to calculate confidence intervals is?

In a study using 9 samples, and in which the population variance is unknown, the distribution that should be used to calculate confidence intervals is


What has the author Stephen F Duffy written?

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What are some of the benefits of using a z-score?

Using z-scores allows for standardizing data so that different datasets can be easily compared. They also provide insight into how far a data point is from the mean, helping identify outliers. Additionally, z-scores are used to calculate probabilities and make statistical inferences.


Do some normal probability distributions have different means and different standard deviations?

Yes. Normal (or Gaussian) distribution are parametric distributions and they are defined by two parameters: the mean and the variance (square of standard deviation). Each pair of these parameters gives rise to a different normal distribution. However, they can all be "re-parametrised" to the standard normal distribution using z-transformations. The standard normal distribution has mean 0 and variance 1.


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