Assam HS Class 11-12 Business Mathematics & Statistics study materials
Assam HS Class 11-12 Business Mathematics & Statistics study resources

Assam HS Class 11-12 Business Mathematics & Statistics key terms

Assam HS Class 11-12 Business Mathematics & Statistics · Get comfortable with the vocabulary.

Set

A well-defined collection of distinct objects, called elements, treated as a single whole. In business problems, sets often represent groups of customers, products, or outcomes that share a stated property.

Related: Union of Sets, Intersection of Sets
Union of Sets

The set containing every element that belongs to at least one of the given sets, written A ∪ B. It answers the question of how many distinct items appear when two groups are pooled.

Related: Intersection of Sets, Venn Diagram
Intersection of Sets

The set of elements common to all given sets, written A ∩ B. It represents the overlap between groups, such as customers who bought both of two products.

Related: Union of Sets, Venn Diagram
Venn Diagram

A diagram using overlapping circles inside a rectangle to show sets and their relationships. Shaded regions display unions, intersections, and complements, making survey and membership problems easier to solve.

Related: Union of Sets, Intersection of Sets
Relation

A rule or set of ordered pairs linking elements of one set to elements of another. Business examples include pairing each customer with the products purchased or each employee with a department.

Related: Function, Domain and Range
Function

A relation in which each input value is paired with exactly one output value. Cost, revenue, and demand models are written as functions so that one quantity determines another uniquely.

Related: Relation, Domain and Range
Domain and Range

The domain is the set of all permitted input values of a function; the range is the set of all resulting output values. In business models, the domain is often restricted to non-negative quantities.

Related: Function, Relation
Matrix

A rectangular arrangement of numbers in rows and columns, enclosed in brackets. Matrices compactly store data such as sales by branch and product, and can be added or multiplied under stated rules.

Related: Order of a Matrix, Determinant
Order of a Matrix

The size of a matrix stated as number of rows by number of columns, for example 3 × 2. Two matrices can be added only when their orders are identical.

Related: Matrix, Transpose of a Matrix
Determinant

A single number computed from a square matrix that indicates whether the matrix has an inverse. A zero determinant means the system of equations has no unique solution.

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

A method of solving simultaneous linear equations using determinants, where each unknown equals a ratio of two determinants. It suits small systems such as two-commodity market equilibrium problems.

Related: Determinant, Matrix
Transpose of a Matrix

The matrix obtained by interchanging rows and columns, written Aᵀ. It is used when data stored by rows must be reorganized by columns, for example converting a table of monthly sales.

Related: Matrix, Order of a Matrix
Arithmetic Progression

A sequence in which each term after the first is obtained by adding a fixed constant called the common difference. It models amounts that grow by equal instalments, such as fixed monthly savings.

Related: Geometric Progression, Sum of n Terms
Geometric Progression

A sequence in which each term after the first is obtained by multiplying by a fixed constant called the common ratio. It models growth at a constant percentage rate, such as compound interest balances.

Related: Arithmetic Progression, Compound Interest
Sum of n Terms

The total of the first n terms of a sequence, given by standard formulas for arithmetic and geometric progressions. It is used to total instalments, depreciation amounts, or accumulated deposits.

Related: Arithmetic Progression, Geometric Progression
Permutation

An arrangement of objects in which the order matters, such as assigning candidates to ranked posts. The number of permutations of n distinct objects taken r at a time is written ⁿPᵣ.

Related: Combination, Factorial
Combination

A selection of objects in which order does not matter, such as choosing a committee from a group. The number of combinations of n objects taken r at a time is written ⁿCᵣ.

Related: Permutation, Factorial
Factorial

The product of all positive integers up to a given positive integer n, written n!. By convention 0! equals 1. Factorials appear in the formulas for permutations, combinations, and the binomial expansion.

Related: Permutation, Combination
Simple Interest

Interest calculated only on the original principal for the whole period, using the formula I = P × r × t. The interest earned does not itself earn further interest.

Related: Compound Interest, Principal
Compound Interest

Interest calculated on the principal plus previously accumulated interest, so the balance grows geometrically. The amount after t years is P(1 + r)ᵗ when interest is compounded annually.

Related: Simple Interest, Effective Rate of Interest
Principal

The original sum of money borrowed, lent, or invested, on which interest is calculated. It is the starting value in all interest, annuity, and present value formulas.

Related: Simple Interest, Compound Interest
Annuity

A series of equal payments made at regular intervals over a fixed period. Loan repayments, insurance premiums, and recurring deposits are common examples handled with annuity formulas.

Related: Present Value, Future Value
Present Value

The value today of a future sum or stream of payments, found by discounting at a given rate of interest. It is used to judge whether an investment or project is worth undertaking now.

Related: Future Value, Annuity
Future Value

The amount a present sum or series of payments will grow to after a stated period at a given interest rate. It answers how much savings or deposits will be worth later.

Related: Present Value, Annuity
Effective Rate of Interest

The true annual rate actually earned or paid when compounding occurs more than once a year. It allows fair comparison between loans or deposits that quote different compounding frequencies.

Related: Compound Interest, Nominal Rate
Nominal Rate

The stated annual interest rate before adjusting for the number of compounding periods within the year. Dividing it by the compounding frequency gives the rate applied each period.

Related: Effective Rate of Interest, Compound Interest
Limit

The value a function approaches as the input approaches a specified point, even if the function is not defined there. Limits underpin continuity, differentiation, and marginal analysis in business.

Related: Derivative, Continuity
Derivative

The instantaneous rate of change of a function with respect to its variable, found as the limit of a difference quotient. In business it gives marginal cost, marginal revenue, and marginal profit.

Related: Limit, Marginal Cost
Marginal Cost

The additional cost of producing one more unit, equal to the derivative of the total cost function. It helps a firm decide whether expanding output is worthwhile.

Related: Derivative, Maxima and Minima
Maxima and Minima

Points where a function reaches its highest or lowest value locally, located by setting the first derivative to zero. The second derivative then distinguishes a maximum from a minimum.

Related: Derivative, Marginal Cost
Integration

The reverse process of differentiation, used to recover a total from a rate of change and to measure area under a curve. In business it turns marginal functions back into total cost or revenue.

Related: Derivative, Limit
Primary Data

Data collected fresh by the investigator for the specific purpose at hand, through surveys, interviews, or observation. It is tailored to the problem but usually costs more to obtain.

Related: Secondary Data, Sampling
Secondary Data

Data already gathered and published by another source, such as government reports or company records. It is quick and cheap but may not exactly fit the present enquiry.

Related: Primary Data, Frequency Distribution
Frequency Distribution

A table showing how many observations fall in each class or category. It organizes raw data into a compact form from which averages and dispersion can be computed.

Related: Class Interval, Histogram
Class Interval

The range of values covered by one class in a grouped frequency distribution, defined by a lower and upper limit. Class width affects how much detail the table preserves.

Related: Frequency Distribution, Histogram
Histogram

A chart of adjacent rectangles whose areas represent class frequencies in a grouped distribution. It displays the shape and spread of quantitative data at a glance.

Related: Frequency Distribution, Class Interval
Arithmetic Mean

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

Related: Median, Standard Deviation
Median

The middle value when observations are arranged in order, or the average of the two middle values. It is resistant to extreme values, making it useful for income and wage data.

Related: Arithmetic Mean, Quartile
Standard Deviation

The square root of the mean of squared deviations from the arithmetic mean. It expresses dispersion in the same units as the data and is the basis of many statistical tests.

Related: Variance, Coefficient of Variation
Variance

The average of the squared deviations of observations from their mean. Squaring removes signs but changes units, so the square root is usually reported instead.

Related: Standard Deviation, Coefficient of Variation
Coefficient of Variation

The standard deviation expressed as a percentage of the arithmetic mean. It compares variability between data sets measured in different units or having very different averages.

Related: Standard Deviation, Arithmetic Mean
Quartile

One of three values that divide ordered data into four equal parts, denoted Q1, Q2, and Q3. Quartiles summarize spread and support box plots and percentile-based reporting.

Related: Median, Standard Deviation
Correlation

A numerical measure of the strength and direction of the linear relationship between two variables, ranging from −1 to +1. It does not by itself prove that one variable causes the other.

Related: Regression, Scatter Diagram
Regression

A method of fitting an equation that predicts one variable from another, usually by least squares. The regression line describes how the average value of the dependent variable changes.

Related: Correlation, Scatter Diagram
Scatter Diagram

A graph plotting one observation of each pair as a point on two axes. The pattern of points reveals whether a relationship is positive, negative, or absent before calculating coefficients.

Related: Correlation, Regression
Time Series

A sequence of values of a variable recorded at successive, usually equal, time intervals. Analysts separate trend, seasonal, cyclical, and irregular components to forecast future values.

Related: Index Number, Trend
Trend

The long-term general direction of a time series after short-term fluctuations are smoothed out. It is estimated by moving averages or by fitting a straight line to the data.

Related: Time Series, Moving Average
Moving Average

A series of averages computed over a fixed number of consecutive periods and shifted forward one period at a time. It smooths out short-term fluctuations to reveal the underlying trend.

Related: Trend, Time Series
Index Number

A statistical measure expressing the change in a variable or group of variables relative to a chosen base period, usually set at 100. Price indices track inflation and cost of living.

Related: Time Series, Base Period
Base Period

The reference period against which changes in an index number are measured and assigned the value 100. Its choice strongly affects how the index behaves over time.

Related: Index Number, Time Series
Probability

A number between 0 and 1 expressing how likely an event is, often computed as favourable outcomes divided by total equally likely outcomes. It quantifies risk in insurance, investment, and quality control.

Related: Mutually Exclusive Events, Expected Value
Mutually Exclusive Events

Two or more events that cannot occur at the same time, so their joint probability is zero. For such events the probability that either occurs is the sum of their probabilities.

Related: Probability, Independent Events
Independent Events

Events whose occurrence does not change the probability of the other occurring. For two such events, the probability that both happen equals the product of their probabilities.

Related: Probability, Mutually Exclusive Events
Expected Value

The probability-weighted average of all possible outcomes of a random variable. It gives the long-run average gain or loss used in decision-making under uncertainty.

Related: Probability, Independent Events