LESSON 2 LINEAR FUNCTIONS
1.0. Linear Function
1.1 What is Linear Function?
Linear function has the form
Y = f (x) = b + m x
Where,
m is the slope / rate of change of Y with respect to x
b is the vertical intercept / value of Y when x = zero
Notice that i
LESSON 13 DESCRIPTIVE STATISTICS
13.1 Diagrammatic Representation of Data
13.1.1 Data
The following chart depicts the sub divisions with regard to data types. We can
categorize data in terms of the scale of measurement.
Data
Nominal
Ordinal
Interval
Ratio
1
LESSON 11PROBABILITY DISTRIBUTION
11.1 RANDOM VARIABLES
INTRODUCTION
Random variables play an important role in probability theory. A random
variable is a special kind of function. A random variable associates a
numerical value with each possible experi
LESSON 10 THEORY OF PROBABILITY
1.0 Introduction: Basic Theory of Probability
Probability theory is a mathematical modeling of the phenomenon of chance.
Uncertainty is a term used in subtly different ways in a number of fields, including
philosophy, physi
LESSON 15 - INTRODUCTION TO
REGRESSION THEORY AND APPLICATION
1.0 Correlation and Regression
1.1 What is correlation?
Correlation is concerned with whether or not there is any association
between two variables. If two variables are related to any extent,
LESSON 14 STATISTICAL INFERENCE
14.0 Introduction
Having discussed descriptive statistics, probability distributions, and sampling
distributions, we are now ready to tackle statistical inference. Statistical inference is
the process by which we acquire in
LESSON 12 SAMPLING AND SAMPLING
DISTRIBUTION
1.0 Sampling and Sampling Distributions
Sampling is the process of selecting units (e.g., people, organizations etc) from
a population of interest. By studying the sample we may fairly generalize our
results ba
LESSON 9 SETS
9.1 What is a Set?
Set theory was developed by the German mathematician G. Cantor (18451918). A set is any collection of distinct objects. The objects can be anything, such
as numbers, lettersetc. The objects are called elements.
Examples: i
LESSON 5 LIMITS AND DIFFERENTIATION
Founders of Calculus
Sir Isaac Newton (1643 - 1727)
Gottfried Leibniz (1646 - 1716)
5.1.0. Limits
In mathematics, the concept of a "limit" is used to describe, the value that a function
or sequence "approaches" as the i
LESSON 8 APPLICATIONS OF
INTEGRALS
8.0 Area between Curves
The area of a region between two or more curves can be
evaluated by applying the properties of definite integrals outlined above.
The procedure is demonstrated given below.
Using the properties of
Lesson 6 Application of Differentiation
6.1 Differentiation and Optimization of Exponential and
Logarithmic Functions
6.1.1 Rules of Differentiation of Exponential and Logarithmic
Functions
The natural exponential function rule
Given f(x) = eg(x), where g
LESSON 7 - INTEGRATION
7.1 What is Integration?
Chapters 5 and 6 were devoted to differential calculus, which measures the
rate of change of functions. Differentiation, as we learnt, is the process of
finding the derivative F ' ( x) of a function F (x) .
LESSON 1 - BASIC ALGEBRAIC OPERATIONS
AND EQUATIONS
1.0. Algebraic Operations
1.1. The Real Number line The real number system can be visualized as a horizontal line that
extends from a special point called the Origin in both directions towards
infinity a
LESSON 3 NON LINEAR FUNCTIONS
1.0. Non Linear Functions and Graphs
1.1. Exponential Function
Previous lessons dealt mainly with exponents, linear and quadric
equation, and simultaneous equations. Now you will learn an important new
function in which a con
LESSON 4 - BASIC MATRIX OPERATIONS
AND SOLUTIONS FOR SYSTEMS OF
LINEAR EQUATIONS
1. Matrix Algebra
1.1 Definition of a Matrix
In mathematics, a matrix (pluralmatrices) is a rectangular array of
elements (or entries), which may be numbers or, more generall
CARA PEMBAYARAN VIRTUAL ACCOUNT
BANK BUKOPIN
Cara Pembayaran 1
melalui ATM dengan cara transfer ke rekening virtual account. Setiap ATM memiliki tata
cara tersendiri, langkah-Iangkah yang ditulis ini secara umum I banyak digunakan oleh
mesin ATM. Penting: