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Tag Archives: probability
One-Tailed vs. Two-Tailed Significance Tests
Example showing (a) a two-tailed, and (b and c) a one-tailed, significance test of an sample’s experimental mean relative to the population’s true mean. The normal distribution curves are drawn using the sample’s mean and standard deviation. For α = 0.05, the … Continue reading
Posted in Illustration
Tagged alternative hypothesis, null hypothesis, one-tail, probability, significance test, two-tail
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Central Limit Theorem
According to the central limit theorem, when an analysis is subject to a variety of indeterminate errors, the distribution of results for that analysis will approximate a normal distribution. As the number of sources of indeterminate error increases, the results … Continue reading
Posted in Illustration
Tagged central limit theorem, histogram, normal distribution, probability, uniform distribution
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Normal Distribution
A binomial distribution describes a population whose members have only certain, discrete values. This is the case with the number of 13C atoms in cholesterol. A molecule of cholesterol, for example, can have two 13C atoms, but it can not … Continue reading
Binomial Distribution
A binomial distribution describes a population whose members take on only certain, discrete values. This is the case, for example, with the number of 13C atoms in cholesterol because a molecule of cholesterol can have two 13C atoms, but it … Continue reading