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Standard normal table. In statistics, a standard normal table, also called the unit normal table or Z table, [ 1] is a mathematical table for the values of Φ, the cumulative distribution function of the normal distribution. It is used to find the probability that a statistic is observed below, above, or between values on the standard normal ...
The Pareto distribution gives 52.8% owned by the upper 1%. According to the OECD in 2012 the top 0.6% of world population (consisting of adults with more than US$1 million in assets) or the 42 million richest people in the world held 39.3% of world wealth. The next 4.4% (311 million people) held 32.3% of world wealth.
Lorenz curve. In economics, the Lorenz curve is a graphical representation of the distribution of income or of wealth. It was developed by Max O. Lorenz in 1905 for representing inequality of the wealth distribution . The curve is a graph showing the proportion of overall income or wealth assumed by the bottom x % of the people, although this ...
Histogram. A histogram is a visual representation of the distribution of quantitative data. The term was first introduced by Karl Pearson. [ 1] To construct a histogram, the first step is to "bin" (or "bucket") the range of values— divide the entire range of values into a series of intervals—and then count how many values fall into each ...
x̅. and R chart. In statistical process control (SPC), the and R chart is a type of scheme, popularly known as control chart, used to monitor the mean and range of a normally distributed variables simultaneously, when samples are collected at regular intervals from a business or industrial process. [ 1]
The cumulative distribution function of a real-valued random variable is the function given by [ 2]: p. 77. (Eq.1) where the right-hand side represents the probability that the random variable takes on a value less than or equal to . The probability that lies in the semi-closed interval , where , is therefore [ 2]: p. 84.
PERT distribution. In probability and statistics, the PERT distributions are a family of continuous probability distributions defined by the minimum ( a ), most likely ( b) and maximum ( c) values that a variable can take. It is a transformation of the four-parameter beta distribution with an additional assumption that its expected value is.
The Bernoulli distribution, which takes value 1 with probability p and value 0 with probability q = 1 − p. The Rademacher distribution, which takes value 1 with probability 1/2 and value −1 with probability 1/2. The binomial distribution, which describes the number of successes in a series of independent Yes/No experiments all with the same ...
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