Topics
Mathematical Logic
Mathematical Logic
Matrices
- Determinant of a Matrix
- Types of Matrices
- Algebra of Matrices
- Properties of Matrices
- Elementary Transformations
- Inverse of Matrix
- Application of Matrices
- Properties of Transpose of a Matrix
Differentiation
- Derivatives of Composite Functions - Chain Rule
- Derivatives of Inverse Functions
- Derivatives of Logarithmic Functions
- Derivatives of Implicit Functions
- Derivatives of Parametric Functions
- Second Order Derivative
Applications of Derivatives
- Introduction of Derivatives
- Increasing and Decreasing Functions
- Maxima and Minima
- Application of Derivatives to Economics
Integration
Definite Integration
- Fundamental Theorem of Integral Calculus
- Properties of Definite Integrals
Applications of Definite Integration
- Standard Forms of Parabola and Their Shapes
- Standard Forms of Ellipse
- Area Under Simple Curves
Differential Equation and Applications
- Differential Equations
- Order and Degree of a Differential Equation
- Formation of Differential Equation by Eliminating Arbitary Constant
- Differential Equations with Variables Separable Method
- Homogeneous Differential Equations
- Linear Differential Equations
- Application of Differential Equations
Matrices
Commission, Brokerage and Discount
- Commission and Brokerage Agent
- Discount
Insurance and Annuity
- Concept of Insurance
- Fire Insurance
- Accident Insurance
- Marine Insurance
- Annuity
Linear Regression
- Regression
- Types of Linear Regression
- Fitting Simple Linear Regression
- The Method of Least Squares
- Lines of Regression of X on Y and Y on X Or Equation of Line of Regression
- Properties of Regression Coefficients
Time Series
- Introduction to Time Series
- Uses of Time Series Analysis
- Components of a Time Series
- Mathematical Models
- Measurement of Secular Trend
Index Numbers
- Index Numbers
- Types of Index Numbers
- Index Numbers - Terminology and Notation
- Construction of Index Numbers
- Simple Aggregate Method
- Weighted Aggregate Method
- Cost of Living Index Number
- Method of Constructing Cost of Living Index Numbers - Aggregative Expenditure Method
- Method of Constructing Cost of Living Index Numbers - Family Budget Method
- Uses of Cost of Living Index Number
Linear Programming
- Introduction of Linear Programming
- Linear Programming Problem (L.P.P.)
- Mathematical Formulation of Linear Programming Problem
Assignment Problem and Sequencing
- Assignment Problem
- Hungarian Method of Solving Assignment Problem
- Special Cases of Assignment Problem
- Sequencing Problem
- Types of Sequencing Problem
- Finding an Optimal Sequence
Probability Distributions
- Mean of a Random Variable
- Types of Random Variables
- Random Variables and Its Probability Distributions
- Probability Distribution of Discrete Random Variables
- Probability Distribution of a Continuous Random Variable
- Binomial Distribution
- Bernoulli Trial
- Mean of Binomial Distribution (P.M.F.)
- Variance of Binomial Distribution (P.M.F.)
- Poisson Distribution
- Expected Value and Variance of a Random Variable
Continuity
Differentiation
Applications of Derivative
Indefinite Integration
- Definition of an Integral
- Integral of Standard Functions
- Rules of Integration
- Methods of Integration
- Integration by Parts
Definite Integrals
Ratio, Proportion and Partnership
Commission, Brokerage and Discount
Insurance and Annuity
- Insurance and Annuity
Demography
- Concept of Demography
- Uses of Vital Statistics in Demography
- Measurements of Mortality
- Life Tables
Bivariate Data and Correlation
Regression Analysis Introduction
- Lines of Regression of X on Y and Y on X Or Equation of Line of Regression
- Regression Coefficient of X on Y and Y on X
- Regression Propertise
Random Variable and Probability Distribution
Management Mathematics
- Inequations in Management Mathematics
- Linear Programming Problem in Management Mathematics
- Assignment Problem
- Sequencing in Management Mathematics
Notes
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Related QuestionsVIEW ALL [15]
Solve the following:
Calculate Price Index number from the given data:
Commodity | A | B | C | D |
Price in 2005 (₹) | 6 | 16 | 24 | 4 |
Price in 2010 (₹) | 8 | 18 | 28 | 6 |
Study the following table, figure, passage and answer the question given below it.
Commodities | Price in 2015 in Rs (base year) P_{0} |
Price in 2019 in Rs. (current year) P_{1} |
L | 20 | 30 |
M | 60 | 80 |
N | 100 | 130 |
O | 40 | 60 |
Total | ∑P_{0} = ? | ∑P_{1} = ? |
- Complete the above table (1m)
- Construct Price Index number from the above data (3m)
Solve the following:
Calculate Laaspeyre's index from the given data:
Commodity | Base year | current year | ||
Price | Quantity | Price | Quantity | |
X | 8 | 30 | 12 | 25 |
Y | 10 | 42 | 20 | 16 |