| 31. | When the shape parameter is zero, the normal distribution results.
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| 32. | The normal distribution is a subclass of the elliptical distributions.
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| 33. | What is the equation of the normal distribution turned up-down?
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| 34. | Which follows a standard normal distribution under the null hypothesis.
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| 35. | Indeed, scores are rarely high, thus skewing a normal distribution.
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| 36. | In this work the uncertainties are defined as normal distributions.
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| 37. | The normal distribution is symmetric, this one is anything but.
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| 38. | The normal distribution represents a commonly encountered continuous probability distribution.
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| 39. | The kurtosis of any univariate normal distribution is 3.
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| 40. | The normal distribution is perhaps the most important case.
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