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2. File:High School Probability and Statistics (Basic).pdf

   en.wikipedia.org/wiki/File:High_School...

   You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

3. 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, 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, respectively.

4. Probability distribution - Wikipedia

   en.wikipedia.org/wiki/Probability_distribution

   In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of possible outcomes for an experiment. [1] [2] It is a mathematical description of a random phenomenon in terms of its sample space and the probabilities of events (subsets of the sample space). [3]

5. File:Checking-understanding-of-perimeter-and-area-worksheet ...

   en.wikipedia.org/wiki/File:Checking...

   This file is licensed under the United Kingdom Open Government Licence v3.0.: You are free to: copy, publish, distribute and transmit the Information; adapt the Information; ...

6. Mathematical statistics - Wikipedia

   en.wikipedia.org/wiki/Mathematical_statistics

   Mathematical statistics is the application of probability theory and other mathematical concepts to statistics, as opposed to techniques for collecting statistical data. [1] Specific mathematical techniques that are commonly used in statistics include mathematical analysis , linear algebra , stochastic analysis , differential equations , and ...

7. Independent and identically distributed random variables

   en.wikipedia.org/wiki/Independent_and...

   A chart showing a uniform distribution. In probability theory and statistics, a collection of random variables is independent and identically distributed (i.i.d., iid, or IID) if each random variable has the same probability distribution as the others and all are mutually independent. [1]