Skip to content.

Skip to navigation
Log In
Contact Us
Report a Bug
Search Site
OpenStaxCNX
Sections
Home
Content
Lenses
About Us
Help
MyCNX
You are here:
Home
»
Content
Browse by Author:
Rupinder Sekhon
View author profile
Return to Browsing Content

Search for Content
Content by Rupinder Sekhon
Content based on works by Rupinder Sekhon (derived copies)
(What are
modules
and
collections
?)
Sort by:
Popularity
Language
Revision Date
Title
Type
Results per page:
10
25
100
View:
Detail

Compact

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:
95.58%
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:
72.25%
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:
52.56%
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:
77.70%
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:
62.54%
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:
58.72%
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:
49.63%
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:
79.45%
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:
58.53%
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:
65.50%
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:
56.78%
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:
66.68%
Revised:
20110714
Revisions:
2
Popularity is measured as percentile rank of page views/day over all time
My Account
Username
Password
Cookies are not enabled. You must
enable cookies
before you can log in.
Get an account
Forgot your password?
Repository
Total Collections:
1500
Visit a random collection
Total Modules:
24390
Visit a random module