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2. Mode (statistics) - Wikipedia

   en.wikipedia.org/wiki/Mode_(statistics)

   Like the statistical mean and median, the mode is a way of expressing, in a (usually) single number, important information about a random variable or a population. The numerical value of the mode is the same as that of the mean and median in a normal distribution, and it may be very different in highly skewed distributions.

3. Central tendency - Wikipedia

   en.wikipedia.org/wiki/Central_tendency

   the arithmetic mean of data values after a certain number or proportion of the highest and lowest data values have been discarded. Interquartile mean a truncated mean based on data within the interquartile range. Midrange the arithmetic mean of the maximum and minimum values of a data set. Midhinge the arithmetic mean of the first and third ...

4. Log-normal distribution - Wikipedia

   en.wikipedia.org/wiki/Log-normal_distribution

   Comparison of mean, median and mode of two log-normal distributions with different skewness. The mode is the point of global maximum of the probability density function. In particular, by solving the equation ( ln ⁡ f ) ′ = 0 {\displaystyle (\ln f)'=0} , we get that:

5. Median - Wikipedia

   en.wikipedia.org/wiki/Median

   The median of a symmetric distribution which possesses a mean μ also takes the value μ. The median of a normal distribution with mean μ and variance σ 2 is μ. In fact, for a normal distribution, mean = median = mode. The median of a uniform distribution in the interval [a, b] is (a + b) / 2, which is also the mean.

6. Moment (mathematics) - Wikipedia

   en.wikipedia.org/wiki/Moment_(mathematics)

   In mathematics, the moments of a function are certain quantitative measures related to the shape of the function's graph.If the function represents mass density, then the zeroth moment is the total mass, the first moment (normalized by total mass) is the center of mass, and the second moment is the moment of inertia.

7. Fan chart (time series) - Wikipedia

   en.wikipedia.org/wiki/Fan_chart_(time_series)

   The split normal density is completely characterized by three parameters, the mode, variance and skewness. Therefore, the fan chart ranges depend on these parameters only. [4] [5] [6] and [8] In a central bank that employs inflation targeting, the three moments of the inflation forecast distribution are determined as follows: The mode.

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   mail.aol.com/d?reason=invalid_cred

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

9. Shewhart individuals control chart - Wikipedia

   en.wikipedia.org/wiki/Shewhart_individuals...

   Individuals and moving range control chart; Originally proposed by: Walter A. Shewhart: Process observations; Rational subgroup size: n = 1: Measurement type: Average quality characteristic per unit: Quality characteristic type: Variables data: Underlying distribution: none: Performance; Size of shift to detect: ≥ 1.5σ: Process variation ...