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Take this to the library! Marketing. [Dhruv Grewal; Michael Levy; Shane Mathews, Paul Harrigan, Tania Bucic, Foula Kopanidis] [2002]
This collection contains articles written by various authors (including myself) concerning the history and practice of working with the library and its capabilities. What they have in common is that they provide a general idea of ​​some of the marketing methods used by libraries to increase profits. And if not increasing profits, then at least attracting new customers.
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Why are only the first three terms in the standard normal distribution useful for practical purposes?
Wikipedia states:
The normal distribution is one of the most basic distributions with a
closed form distribution function. It is useful in business,
engineering, and physics because its use demonstrates the central
limit theorem, which says that the sample mean and variance of large
random samples from a normally distributed population have
distributions that are close to normal, and
In applications, the central limit theorem is used to predict
probability of quantities of interest (e.g. probabilities, mean
deviations, etc.) with a large sample for a
population that is normally distributed with a known mean, variance,
and occasionally for normal populations with other parameters.
The normal distribution is defined as
$$
N(x;\mu,\sigma) = \frac{1}{\sqrt{2\pi}\sigma}\int_{ -\infty}^x e^{ -\frac{(x-y)^2}{2\sigma^2}} dy.
$$
But the probability density function of the normal distribution in Wikipedia, by definition, is
$$
f(x;\mu,\sigma) = \frac{1}{\sigma\sqrt{2\pi}}e^{ -\frac{(x-\mu)^2}{2\sigma^2}}.
$$
If we use the first three terms of Taylor series (around x = 0) of the normal pdf, we get $1$, $\frac{1}{2}$, $\frac{1}{6}$, and $\frac{1}{24}$, which can be used to approximate the normal pdf. However, the full form is $N(x;\mu,\sigma) = \frac{1}{\sigma\sqrt{2\pi}}\sum_{k=0}^\infty \
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