# Bisection Method – Algorithm, Implementation in C with Solved Examples

Bisection Method

The Bisection method is the most simplest iterative method and also known as half-interval or Bolzano method.

This method is based on the

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# Bisection Method – Algorithm, Implementation in C with Solved Examples

# Poisson Distribution With Examples

# Binomial Distribution With Examples

# Karl Pearson’s Coefficient Method (Correlation)

# Scatter Diagram Method (Correlation)

# Correlation – Definition, Types, Methods of Measurements

# All About Moment Generating Function With Examples

# What is Covariance?

# Variance Formula of Random Variable With Example

# Mathematical Expectation of Random Variables With Examples And Expected Value Formula

Bisection Method

The Bisection method is the most simplest iterative method and also known as half-interval or Bolzano method.

This method is based on the

Now we will learn Poisson distribution. In the previous article we learn Binomial distribution. So let’s start.

Poisson Distribution

Definition

Let X be a discrete

Binomial Distribution

Before starting our discussion on Binomial Distribution we have to understand what Bernoulli Trials is.

Bernoulli Trials

Trials are called Bernoulli trials if

Karl Pearson’s Coefficient Method

Karl Pearson’s method of coefficient of correlation is also known as Pearsonian coefficient or correlation or product correlation method.

Let X

Scatter Diagram Method

Scatter Diagram Method is the simplest method of studying the correlation between two variables. In this method the values of one of

Correlation

Correlation is a statistical tool used to study the relationship between two or more variables. Two variables are said to be correlated if the

Moment generating function

In this article we will first learn what a moment generating function (mgf) is and then we will learn how to use

Covariance Definition

Covariance is a measure of association between two random variables. Let X and Y be two random variables. Then the covariance is defined

Variance

One of the important measures of variability of a random variable is variance. Let X is a random variable with probability distribution f(x) and

Mathematical Expectation of Random Variables

In the last three articles of probability we studied about Random Variables of single and double variables, in this article