CHSE Odisha Business Mathematics & Statistics study materials
CHSE Odisha Business Mathematics & Statistics study resources

CHSE Odisha Business Mathematics & Statistics key terms

CHSE Odisha Business Mathematics & Statistics · Get comfortable with the vocabulary.

Set

A well-defined collection of distinct objects, called elements, treated as a single entity. Membership is decided by a clear rule, so any object either belongs to the collection or does not.

Related: Subset, Union of Sets, Universal Set
Subset

A set whose every element also belongs to another given set. If A is a subset of B, then no element of A lies outside B; equality is allowed, so every set is a subset of itself.

Related: Set, Power Set
Power Set

The set of all subsets of a given set, including the empty set and the set itself. A set with n elements has a power set containing exactly 2 raised to the power n members.

Related: Subset, Set
Union of Sets

The set formed by collecting every element that appears in at least one of two or more given sets, with duplicates counted once. It is the smallest set containing all the original sets as subsets.

Related: Intersection of Sets, Complement of a Set
Intersection of Sets

The set of elements common to two or more given sets, that is, elements belonging to all of them simultaneously. If no element is shared, the intersection is the empty set.

Related: Union of Sets, Disjoint Sets
Complement of a Set

The set of all elements of the universal set that do not belong to a given set. It depends on the chosen universal set, so changing the universal set changes the complement.

Related: Universal Set, Union of Sets
Relation

A rule or set of ordered pairs linking elements of one set to elements of another, or of the same set. A relation is a subset of the Cartesian product of the two sets.

Related: Function, Cartesian Product
Function

A relation in which every element of the domain is paired with exactly one element of the codomain. Different inputs may share an output, but a single input cannot produce two outputs.

Related: Relation, Domain and Range, Inverse Function
Domain and Range

The domain is the full set of input values for which a function is defined; the range is the set of all output values it actually produces. Together they describe a function's scope.

Related: Function, Inverse Function
Inverse Function

A function that reverses another function, sending each output back to its original input. It exists only when the original function is one-to-one and onto its codomain.

Related: Function, Domain and Range
Matrix

A rectangular arrangement of numbers or expressions in rows and columns, enclosed in brackets. Its order is stated as rows by columns, and each entry is identified by its row and column position.

Related: Determinant, Transpose of a Matrix, Singular Matrix
Determinant

A single number computed from the entries of a square matrix that indicates whether the matrix is invertible. A zero determinant means no inverse exists; nonzero means an inverse does.

Related: Matrix, Singular Matrix, Cramer's Rule
Singular Matrix

A square matrix whose determinant equals zero, so it has no multiplicative inverse. Its rows or columns are linearly dependent, meaning one can be built from combinations of the others.

Related: Determinant, Inverse of a Matrix
Inverse of a Matrix

For a square matrix A with nonzero determinant, the matrix that multiplies with A to give the identity matrix. It is found using the adjoint divided by the determinant.

Related: Determinant, Singular Matrix, Identity Matrix
Identity Matrix

A square matrix with ones along the main diagonal and zeros everywhere else. Multiplying any conformable matrix by it leaves that matrix unchanged, so it acts like the number one.

Related: Inverse of a Matrix, Transpose of a Matrix
Transpose of a Matrix

The matrix obtained by interchanging rows and columns of a given matrix. A matrix of order m by n becomes one of order n by m, and entries swap their row and column indices.

Related: Matrix, Identity Matrix
Cramer's Rule

A method of solving a system of linear equations using determinants. Each unknown equals the ratio of two determinants: that of a modified coefficient matrix to that of the coefficient matrix.

Related: Determinant, Singular Matrix
Factorial

The product of all positive integers from one up to a given whole number, written with an exclamation mark. By convention the factorial of zero equals one, which keeps counting formulas consistent.

Related: Permutation, Combination
Permutation

An arrangement of a selection of objects in which the order matters. The number of permutations of n distinct objects taken r at a time is n factorial divided by n minus r factorial.

Related: Combination, Factorial
Combination

A selection of objects from a group in which order does not matter. The number of combinations of n objects taken r at a time equals the corresponding permutation count divided by r factorial.

Related: Permutation, Factorial
Arithmetic Progression

A sequence in which each term after the first is obtained by adding a fixed constant, the common difference, to the previous term. Its nth term and sum have standard closed formulas.

Related: Geometric Progression, Common Difference
Common Difference

The constant amount added to each term of an arithmetic progression to produce the next term. It may be positive, negative, or zero, and equals any term minus the preceding term.

Related: Arithmetic Progression
Geometric Progression

A sequence in which each term after the first is obtained by multiplying the previous term by a fixed nonzero constant, the common ratio. Terms grow or shrink multiplicatively rather than additively.

Related: Common Ratio, Arithmetic Progression, Sum to Infinity
Common Ratio

The fixed factor by which each term of a geometric progression is multiplied to obtain the next term. It equals any term divided by the term immediately before it.

Related: Geometric Progression, Sum to Infinity
Sum to Infinity

The limiting value approached by the sum of the first n terms of an infinite geometric progression as n grows without bound. It exists only when the common ratio lies strictly between minus one and one.

Related: Geometric Progression, Common Ratio
Slope of a Line

A measure of the steepness and direction of a straight line, equal to the change in vertical distance divided by the corresponding change in horizontal distance between two points. Horizontal lines have zero slope.

Related: Equation of a Straight Line, Parallel and Perpendicular Lines
Equation of a Straight Line

An algebraic relation satisfied by exactly the points lying on a straight line, commonly written in slope-intercept, point-slope, two-point, or intercept form. Each form suits different known data.

Related: Slope of a Line, Parallel and Perpendicular Lines
Parallel and Perpendicular Lines

Two non-vertical lines are parallel when their slopes are equal, and perpendicular when the product of their slopes equals minus one. These slope conditions let you test or construct such lines quickly.

Related: Slope of a Line, Equation of a Straight Line
Derivative

The instantaneous rate at which a function's value changes with respect to its variable, defined as the limit of a difference quotient. Geometrically it gives the slope of the tangent to the curve.

Related: Tangent and Normal, Maxima and Minima, Marginal Cost
Maxima and Minima

Points where a function reaches a local highest or lowest value, located by setting the first derivative to zero and checking the sign of the second derivative. They model optimisation problems in business.

Related: Derivative, Marginal Cost
Marginal Cost

The additional cost of producing one more unit of output, approximated by the derivative of the total cost function with respect to quantity. It guides decisions about expanding or reducing production.

Related: Derivative, Maxima and Minima
Tangent and Normal

The tangent is the straight line touching a curve at a point with slope equal to the derivative there; the normal is perpendicular to it at the same point. Their slopes multiply to minus one.

Related: Derivative, Slope of a Line
Definite Integral

The integral of a function between two limits, evaluated as the difference of an antiderivative at those limits. It represents signed area under a curve and is used to find totals from rates.

Related: Indefinite Integral, Area Under a Curve
Indefinite Integral

The family of all antiderivatives of a function, written with an arbitrary constant of integration. It reverses differentiation, so differentiating the result returns the original function.

Related: Definite Integral, Area Under a Curve
Area Under a Curve

The region bounded by a curve, the horizontal axis, and two vertical lines, whose signed measure is found by a definite integral. Areas below the axis count as negative unless absolute values are used.

Related: Definite Integral, Indefinite Integral
Arithmetic Mean

The sum of all observations divided by their number, the most common measure of central tendency. It uses every value but is strongly affected by extreme observations.

Related: Median, Standard Deviation, Mean Deviation
Median

The middle value of a data set arranged in order, or the average of the two middle values when the count is even. It divides the data into two equal halves and resists extreme values.

Related: Arithmetic Mean, Quartile, Mode
Mode

The value that occurs most frequently in a data set, so it identifies the most typical or popular observation. A distribution may be unimodal, bimodal, or have no mode at all.

Related: Median, Arithmetic Mean
Standard Deviation

The positive square root of the variance, expressing the typical spread of observations around the arithmetic mean in the original units. A larger value means greater dispersion.

Related: Variance, Arithmetic Mean, Coefficient of Variation
Variance

The average of the squared deviations of observations from their arithmetic mean. Squaring removes signs, so variance is always non-negative, but its units are squared.

Related: Standard Deviation, Mean Deviation
Mean Deviation

The average of the absolute deviations of observations from a central value such as the mean or median. Using absolute values avoids cancellation between positive and negative deviations.

Related: Arithmetic Mean, Variance
Coefficient of Variation

The standard deviation expressed as a percentage of the arithmetic mean, allowing comparison of variability between data sets measured in different units or having very different averages. Lower values indicate greater consistency.

Related: Standard Deviation, Arithmetic Mean
Quartile

One of three values dividing ordered data into four equal parts: the lower quartile, the median, and the upper quartile. The interquartile range is the difference between the upper and lower quartiles.

Related: Median, Standard Deviation
Karl Pearson's Coefficient of Correlation

A number between minus one and plus one measuring the strength and direction of linear association between two variables. A value near zero suggests little linear relationship.

Related: Regression Coefficient, Scatter Diagram
Regression Coefficient

The slope in a regression equation, stating how much the dependent variable changes on average for a one-unit increase in the independent variable. Two regression coefficients exist, one for each direction.

Related: Karl Pearson's Coefficient of Correlation, Line of Best Fit
Line of Best Fit

The straight line chosen to summarise a scatter of paired observations by minimising the sum of squared vertical deviations. It is used to predict one variable from the other.

Related: Regression Coefficient, Scatter Diagram
Scatter Diagram

A graph plotting paired observations as points on two axes, revealing the form, direction, and strength of association. It is a quick visual check before computing a correlation coefficient.

Related: Karl Pearson's Coefficient of Correlation, Line of Best Fit
Sample Space

The set of all possible outcomes of a random experiment, usually denoted S. Every event is a subset of this space, and the probabilities of its outcomes sum to one.

Related: Event, Probability
Event

A subset of the sample space, consisting of one or more outcomes of a random experiment. An event occurs when the actual outcome belongs to that subset.

Related: Sample Space, Probability
Probability

A number between zero and one expressing how likely an event is, computed for equally likely outcomes as favourable outcomes divided by total outcomes. Zero means impossible and one means certain.

Related: Sample Space, Event, Binomial Distribution
Binomial Distribution

The probability distribution of the number of successes in a fixed number of independent trials, each with the same probability of success. It is discrete and determined by the trial count and success probability.

Related: Probability, Poisson Distribution
Poisson Distribution

A discrete probability distribution modelling the number of occurrences of rare events in a fixed interval of time or space, given a known average rate. Its mean and variance are equal.

Related: Binomial Distribution, Probability
Index Number

A statistical measure expressing the relative change in a variable or group of variables over time or place, with a chosen base period set to one hundred. It simplifies comparison of percentage changes.

Related: Laspeyres Index, Paasche Index, Time Series
Laspeyres Index

A weighted price index using base-period quantities as weights, so it measures the cost of a fixed basket bought in the base year. It tends to overstate price rises because it ignores substitution.

Related: Paasche Index, Index Number
Paasche Index

A weighted price index using current-period quantities as weights, reflecting the basket actually bought in the current year. It tends to understate price rises compared with a base-weighted index.

Related: Laspeyres Index, Index Number
Time Series

A sequence of values of a variable recorded at successive, usually equally spaced, points in time. Analysis separates trend, seasonal, cyclical, and irregular movements.

Related: Trend, Moving Average, Index Number
Trend

The long-term general direction of a time series, obtained by smoothing out short-term fluctuations. It may be rising, falling, or stable and is often estimated by a moving average or least squares.

Related: Time Series, Moving Average
Moving Average

A series of averages computed over successive overlapping groups of consecutive observations, used to smooth fluctuations and reveal trend. The number of periods chosen determines the degree of smoothing.

Related: Trend, Time Series