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2. Normal distribution - Wikipedia

   en.wikipedia.org/wiki/Normal_distribution

   The simplest case of a normal distribution is known as the standard normal distribution or unit normal distribution. This is a special case when μ = 0 {\textstyle \mu =0} and σ 2 = 1 {\textstyle \sigma ^{2}=1} , and it is described by this probability density function (or density): φ ( z ) = e − z 2 2 2 π . {\displaystyle \varphi (z ...

3. Standard normal table - Wikipedia

   en.wikipedia.org/wiki/Standard_normal_table

   Normal distributions are symmetrical, bell-shaped distributions that are useful in describing real-world data. The standard normal distribution, represented by Z, is the normal distribution having a mean of 0 and a standard deviation of 1.

4. 68–95–99.7 rule - Wikipedia

   en.wikipedia.org/wiki/68–95–99.7_rule

   In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr or 3 σ, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean ...

5. List of probability distributions - Wikipedia

   en.wikipedia.org/wiki/List_of_probability...

   The Weibull distribution or Rosin Rammler distribution, of which the exponential distribution is a special case, is used to model the lifetime of technical devices and is used to describe the particle size distribution of particles generated by grinding, milling and crushing operations. The modified half-normal distribution. [1]

6. Bed size - Wikipedia

   en.wikipedia.org/wiki/Bed_size

   Adjustable beds or electric adjustable bed sizes differ from the standard bed size. The length of these beds differ from a standard size due to the nature of the bed needing to bend. So they are 200 cm in length rather than 191 cm. King size and super king size are normally two 75 cm or two 90 cm adjacent beds. [25]

7. Student's t-distribution - Wikipedia

   en.wikipedia.org/wiki/Student's_t-distribution

   The t distribution is often used as an alternative to the normal distribution as a model for data, which often has heavier tails than the normal distribution allows for; see e.g. Lange et al. [14] The classical approach was to identify outliers (e.g., using Grubbs's test) and exclude or downweight them in