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- Terminology

Request an addition to our A-Z of Terminology:

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.

This will forever be a work in progress, so please let us know if you would like something adding to this.

**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.

- Last Updated: Jan 27, 2023 1:33 PM
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