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Here you'll find definitions and explanations of many mathematical terms, and statistical concepts and tests. You'll also find links to further information about them as well as the 'how-to' guides to accompany them.
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Algebra : The area of mathematics where letters and other general symbols are used to represent numbers and quantities in formulae and equations.
Calculus : The area of mathematics involving derivatives and integrals, it is the study of motion in which changing values are studied.
Corollary : A proposition that follows from (and is often appended to) a mathematical proof.
Differentiation : The process of finding the derivative or the rate of change of a function. It is often considered the inverse to integration.
Geometry : The study of lines, angles, shapes, and their properties. Geometry studies physical shapes and the object dimensions.
Integration : The process of finding a function g(x) that's derivative is another function f(x). It is often considered the inverse to differentiation.
Interval Data : A classification or 'level' of data that comprises continuous measurements without an absolute zero. Examples include Temperature (in Celsius)
Independent Samples t-Test : An independent-samples t-test is a parametric hypothesis test which compares the means between two unrelated groups, such as comparing the difference between class 1 and class 2,
Mean : The average is a singular number that expresses the middle or typical value from a set of numbers. This can refer to one of three averages, the Mean, Median or Mode...etc.
Nominal Data : A classification or 'level' of data that comprises unordered categories. Examples include Gender (Male, Female, Non-Binary), Eye Colour(Blue, Green, Brown) and subject choice (Maths, Chemistry, Sociology)
Ordinal Data : A classification or 'level' of data that comprises ordered categories, examples include Height (Short, Medium, Tall) Age, (Young, Middle Age, Old) and University Years (First Year, Second Year, Third Year)
Proof : A logical argument, or a series of arguments, that demonstrates that a theorem is provably true. Proofs can range from a diagram or a few sentences up to 10,000 pages.
Ratio Data : A classification or 'level' of data that comprises continuous measurements with an absolute zero. Examples include Temperature (in Kelvin)
Repeated Measures ANOVA : A One-Way Repeated-Measures ANOVA is a parametric hypothesis test that compares the difference between more than two related groups, such as comparing the difference between three time points.
Scale Data : A classification or 'level' of data that comprises continuous measurements. Examples include Height (in centimetres), Weight (in kilograms), Time (in seconds) and Test Scores (as a percentage)
Theorem : A proposition which is not self-evident but proved by a chain of reasoning often in the form of a mathematical proof.
Trigonometry : The area of mathematics involving the relations of the sides and angles of triangles and with the relevant functions of any angles.