Math Words That Start with M: Key Terms to Know

In this article, you’ll discover a comprehensive list of math terms that start with the letter “M” to enhance your vocabulary and understanding of mathematical concepts.

  1. Matrix: A rectangular array of numbers or expressions arranged in rows and columns.
  2. Modulus: The absolute value of a number.
  3. Median: The middle value in a list of numbers.
  4. Mean: The average of a set of numbers.
  5. Mode: The number that appears most frequently in a data set.
  6. Multiple: A number that can be divided by another number without any remainder.
  7. Magnitude: The size or length of a vector.
  8. Metric: A standard of measurement.
  9. Multiplier: A number used to multiply another number.
  10. Monomial: An algebraic expression consisting of one term.
  11. Midpoint: The point that divides a segment into two equal parts.
  12. Mapping: The process of pairing each element of a set with an element of another set.
  13. Minuend: The number from which another number is subtracted.
  14. Mathematics: The study of numbers, quantities, shapes, and patterns.
  15. Mantissa: The decimal part of a logarithm.
  16. Modular: Relating to or using a modulus.
  17. Metric Space: A set where a distance between every pair of points is defined.
  18. Multiplicand: A number that is to be multiplied by another.
  19. Multiplication: The process of calculating the product of two or more numbers.
  20. Margins: The difference between costs and revenue.
  21. Mean Deviation: The average of the absolute deviations from the mean.
  22. Mode (Statistics): The value that appears most frequently in a data set.
  23. Matrix Multiplication: Combining two matrices to produce a new matrix.
  24. Modular Arithmetic: A system of arithmetic for integers, where numbers wrap around after reaching a certain value.
  25. Monte Carlo Method: A statistical technique involving random sampling to solve problems.
  26. Mediant: The fraction that is the average of two other fractions.
  27. Metric System: A decimal system of weights and measures.
  28. Manifold: A topological space that resembles Euclidean space near each point.
  29. Minimal Surface: A surface that locally minimizes its area.
  30. Moment: A measure of the shape of a set of points.
  31. Multiplexer: A device that combines several input signals into a single output signal.
  32. Mean Squared Error: The average of the squares of the errors.
  33. Markov Chain: A stochastic process that undergoes transitions from one state to another.
  34. Mersenne Prime: A prime number of the form 2^p – 1.
  35. Mobius Strip: A surface with only one side and one edge.
  36. Minimal Polynomial: The polynomial of least degree that has a given value as a root.
  37. Mean Value Theorem: A theorem stating that a continuous function on a closed interval has at least one point where the function’s derivative equals the function’s average rate of change.
  38. Mutual Exclusion: A property where two events cannot happen at the same time.
  39. Marginal Cost: The cost of producing one additional unit of a good.
  40. Marginal Revenue: The revenue gained from selling one more unit of a good.
  41. Mahalanobis Distance: A measure of distance based on correlations between variables.
  42. Multivariable: Involving more than one variable.
  43. Matrix Addition: The process of adding two matrices by adding their corresponding entries.
  44. Missing Data: Data that is not recorded or is otherwise unavailable.
  45. Markov Process: A type of stochastic process with the Markov property.
  46. Microeconomics: The branch of economics that analyzes market behavior of individuals and firms.
  47. Marginal Utility: The additional satisfaction gained from consuming an additional unit of a good.
  48. Mean Free Path: The average distance traveled by a particle between collisions.
  49. Magnitude (Complex Numbers): The distance of the complex number from the origin in the complex plane.
  50. Moving Average: A statistical technique used to analyze time series data.
  51. Moment Generating Function: A function that provides an alternative representation of a probability distribution.
  52. Mutual Information: A measure of the mutual dependence between two variables.
  53. M- Statistic: A robust statistic that reduces the influence of outliers.
  54. Model: A mathematical representation of a real-world scenario.
  55. Markov Property: The property of a stochastic process where future states depend only on the current state.
  56. Meta- Analysis: A statistical method to combine results from multiple studies.
  57. Modular Form: A complex function defined on the upper half-plane.
  58. Moore- Penrose Inverse: A generalization of the inverse matrix.
  59. Maximum: The largest value in a set of numbers.
  60. Minimum: The smallest value in a set of numbers.
  61. Marginal Rate of Substitution: The rate at which one good can be substituted for another while maintaining the same level of utility.
  62. Monte Carlo Simulation: A method for solving problems using random sampling.
  63. Marginal Product: The additional output generated by adding one more unit of input.
  64. Mixed Number: A number made up of a whole number and a fraction.
  65. Modulus of Continuity: A function that describes the uniform continuity of a function.
  66. Mean Absolute Deviation: The average of the absolute deviations from the mean.
  67. Mantissa (Logarithms): The fractional part of a logarithm.
  68. Modern Algebra: The study of algebraic structures such as groups, rings, and fields.
  69. Matrix Inverse: A matrix that, when multiplied by its original, yields the identity matrix.
  70. Master Theorem: A formula for solving recurrence relations.
  71. Maximum Likelihood Estimation: A method for estimating the parameters of a statistical model.
  72. Mini- Max Theorem: A theorem in game theory that determines the best strategy in zero-sum games.
  73. Moment of Inertia: A measure of an object’s resistance to rotational acceleration.
  74. Mean Square Displacement: The average squared distance traveled by particles.
  75. Mixed Strategy: A strategy in game theory where a player chooses among possible moves according to a probability distribution.
  76. Monotonic Function: A function that is either entirely non-increasing or non-decreasing.
  77. Mutually Exclusive Events: Events that cannot happen simultaneously.
  78. Market Equilibrium: A situation in economics where supply equals demand.
  79. Mu (Statistics): The symbol often used to represent the mean of a population.
  80. Mathematical Expectation: Another term for the expected value of a random variable.
  81. Minimum Spanning Tree: A subset of edges in a weighted graph that connects all vertices with the minimal total edge weight.
  82. Matrix Determinant: A scalar value that is a function of a square matrix and encodes certain properties of the matrix.
  83. Moment (Statistics): A quantitative measure of the shape of a set of points.
  84. Mixed Model: A statistical model containing both fixed and random effects.
  85. Modular Arithmetic: A system of arithmetic for integers, where numbers “wrap around” upon reaching a certain value.
  86. Mean Value: Another term for the average value of a set of numbers.
  87. Median Absolute Deviation: A measure of statistical dispersion.
  88. Multivariate Analysis: An analysis technique used to analyze data that originates from more than one variable.
  89. Matrix Factorization: A process in which a matrix is decomposed into a product of matrices.
  90. Minimum Cut: A partition of a graph’s vertices that minimizes the sum of weights of edges crossing the partition.
  91. Monte Carlo Integration: A technique for numerical integration using random sampling.
  92. Mutual Exclusion Principle: A principle stating that two events cannot both occur at the same time.
  93. Moment (Probability Theory): A measure of the shape of a probability distribution.
  94. Metropolis Algorithm: An algorithm for obtaining a sequence of random samples from a probability distribution.
  95. Mallows’ Cp: A criterion for model selection in regression analysis.
  96. Multimodal Distribution: A probability distribution with more than one peak.
  97. Monotonic Decreasing: A function that never increases as its input increases.
  98. Mean Time to Failure: The expected elapsed time until a system experiences failure.
  99. Markov Blanket: The set of nodes that renders a node conditionally independent of all other nodes in a Bayesian network.

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