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Statistics
Applied Finite Mathematics
(col10613)
Author:
Rupinder Sekhon
Keywords:
applied finite mathematics, math
Summary:
Applied Finite Mathematics covers topics including linear equations, matrices, linear programming, the mathematics of finance, sets and counting, probability, Markov chains, and game theory.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
95.69%
Revised:
20110716
Revisions:
5
Applied Finite Mathematics: Practice Exam
(m18911)
Author:
Rupinder Sekhon
Summary:
This module contains the practice final exam for Applied Finite Mathematics.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
72.87%
Revised:
20110715
Revisions:
2
Game Theory
(m18910)
Author:
Rupinder Sekhon
Keywords:
game theory
,
mixed strategy
Summary:
This chapter covers principles of game theory. After completing this chapter students should be able to: solve strictly determined games and solve games involving mixed strategies.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
54.31%
Revised:
20110715
Revisions:
2
Linear Equations
(m18901)
Author:
Rupinder Sekhon
Keywords:
applications
,
graphing linear equations
,
linear equations
,
linear systems
,
slope
Summary:
This chapter covers principles of linear equations. After completing this chapter students should be able to: graph a linear equation; find the slope of a line; determine an equation of a line; solve linear systems; and complete application problems using linear equations.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
78.04%
Revised:
20110714
Revisions:
2
Linear Programing: The Simplex Method
(m18904)
Author:
Rupinder Sekhon
Keywords:
linear programming
,
matrices
,
maximization
,
minimization
,
simplex method
Summary:
This chapter covers principles of the simplex method to Linear Programming. After completing this chapter students should be able to: solve linear programming maximization problems using the simplex method and solve the minimization problems using the simplex method.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
63.58%
Revised:
20110714
Revisions:
2
Linear Programming: A Geometric Approach
(m18903)
Author:
Rupinder Sekhon
Keywords:
linear programming
,
matrices
,
objective function
Summary:
This chapter covers principles of a geometrical approach to linear programming. After completing this chapter students should be able to: solve linear programming problems that maximize the objective function and solve linear programming problems that minimize the objective function.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
60.13%
Revised:
20110714
Revisions:
2
Markov Chains
(m18909)
Author:
Rupinder Sekhon
Keywords:
Absorbing Markov Chains
,
Markov Chains
,
matrices
,
Regular Markov Chains
,
trends
Summary:
This chapter covers principles of Markov Chains. After completing this chapter students should be able to: write transition matrices for Markov Chain problems; find the long term trend for a Regular Markov Chain; Solve and interpret Absorbing Markov Chains.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
51.34%
Revised:
20110715
Revisions:
2
Mathematics of Finance
(m18905)
Author:
Rupinder Sekhon
Keywords:
annuities
,
compound interest
,
finances
,
loan payments
,
simple interest
,
sinking funds
Summary:
This chapter covers principles of finance. After completing this chapter students should be able to: solve financial problems that involve simple interest; solve problems involving compound interest; find the future value of an annuity; find the amount of payments to a sinking fund; find the present value of an annuity ... a loan.
[Expand Summary]
This chapter covers principles of finance. After completing this chapter students should be able to: solve financial problems that involve simple interest; solve problems involving compound interest; find the future value of an annuity; find the amount of payments to a sinking fund; find the present value of an annuity; and find an installment payment on a loan.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
79.84%
Revised:
20110714
Revisions:
2
Matrices
(m18902)
Author:
Rupinder Sekhon
Keywords:
GaussJordan method
,
linear systems
,
matrices
,
matrix inverse method
,
matrix operations
Summary:
This chapter covers principles of matrices. After completing this chapter students should be able to: complete matrix operations; solve linear systems using GaussJordan method; Solve linear systems using the matrix inverse method and complete application problems.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
59.93%
Revised:
20110714
Revisions:
2
More Probability
(m18908)
Author:
Rupinder Sekhon
Keywords:
Bayes' Formula
,
binomial
,
probability
,
tree diagrams
Summary:
This chapter covers additional principles of probability. After completing this chapter students should be able to: find the probability of a binomial experiment; find the probabilities using Bayes' Formula; find the expected value or payoff in a game of chance; find the probabilities using tree diagrams.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
66.52%
Revised:
20110715
Revisions:
2
Probability
(m18907)
Author:
Rupinder Sekhon
Keywords:
addition rule
,
combinations
,
conditional probability
,
independence
,
mutual exclusion
,
probability
,
spaces
,
tree diagrams
Summary:
This chapter covers principles of probability. After completing this chapter students should be able to: write sample spaces; determine whether two events are mutually exclusive; use the addition rule; calculate probabilities using tree diagrams and combinations; solve problems involving conditional probability; determine whether two events are independent.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
58.54%
Revised:
20110714
Revisions:
2
Sets and Counting
(m18906)
Author:
Rupinder Sekhon
Keywords:
binomial theorem
,
combinations
,
counting problems
,
multiplication axiom
,
permutations
,
set theory
,
venn diagrams
Summary:
This chapter covers principles of sets and counting. After completing this chapter students should be able to: use set theory and venn diagrams to solve counting problems; use the multiplication axiom to solve counting problems; use permutations to solve counting problems; use combinations to solve counting problems; and use the binomial theorem to expand x+y^n.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
67.85%
Revised:
20110714
Revisions:
2
Popularity is measured as percentile rank of page views/day over all time
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