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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 probability of success.
[10] Figure 2: The probability density function (pdf) of the normal distribution, also called Gaussian or "bell curve", the most important absolutely continuous random distribution. As notated on the figure, the probabilities of intervals of values correspond to the area under the curve.
Probability, Random Variables, and Probability Distributions: 10–20% Sampling Distributions: 7–12% Inference for Categorical Data: Proportions 12–15% Inference for Quantitative Data: Means 10-18% Inference for Categorical Data: Chi-Square: 2-5% Inference for Quantitative Data: Slopes: 2-5%
Probability is the branch of mathematics and statistics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 and 1; the larger the probability, the more likely an event is to occur. [note 1] [1] [2] A simple example is the tossing of a fair (unbiased) coin. Since the ...
That is, the probability function f(x) lies between zero and one for every value of x in the sample space Ω, and the sum of f(x) over all values x in the sample space Ω is equal to 1. An event is defined as any subset of the sample space . The probability of the event is defined as
This is a list of notable theorems.Lists of theorems and similar statements include: List of algebras; List of algorithms; List of axioms; List of conjectures
Download as PDF; Printable version ... [10] or, more generally, directed acyclic ... discrete optimization, discrete probability theory, discrete probability ...