On Continuous Distributions

Here is an article I have written about the several continuous distributions that we learnt in high-school, namely the normal distribution, t-distribution and chi-squared distributions.

These are all bell-shaped curves, and therefore it is meaningless to define a normal distribution as a bell-shaped distribution without further discription. In the article, I will explain in-depth the meaning of randomness and give proofs and results about the properties of these distributions, and what makes them differ from each other.

Most importantly, I will be deriving the curve equations (called the pdf) for each of these distributions.

Click here to download the article, or read it here:

On Continuous Distributions

Here is an article I have written about the several continuous distributions that we learnt in high-school, namely the normal distribution, t-distribution and chi-squared distributions.

These are all bell-shaped curves, and therefore it is meaningless to define a normal distribution as a bell-shaped distribution without further discription. In the article, I will explain in-depth the meaning of randomness and give proofs and results about the properties of these distributions, and what makes them differ from each other.

Most importantly, I will be deriving the curve equations (called the pdf) for each of these distributions.

Click here to download the article, or read it here:

On Continuous Distributions

Here is an article I have written about the several continuous distributions that we learnt in high-school, namely the normal distribution, t-distribution and chi-squared distributions.

These are all bell-shaped curves, and therefore it is meaningless to define a normal distribution as a bell-shaped distribution without further discription. In the article, I will explain in-depth the meaning of randomness and give proofs and results about the properties of these distributions, and what makes them differ from each other.

Most importantly, I will be deriving the curve equations (called the pdf) for each of these distributions.

Click here to download the article, or read it here:

On Continuous Distributions

Here is an article I have written about the several continuous distributions that we learnt in high-school, namely the normal distribution, t-distribution and chi-squared distributions.

These are all bell-shaped curves, and therefore it is meaningless to define a normal distribution as a bell-shaped distribution without further discription. In the article, I will explain in-depth the meaning of randomness and give proofs and results about the properties of these distributions, and what makes them differ from each other.

Most importantly, I will be deriving the curve equations (called the pdf) for each of these distributions.

Click here to download the article, or read it here:

On Continuous Distributions

Here is an article I have written about the several continuous distributions that we learnt in high-school, namely the normal distribution, t-distribution and chi-squared distributions.

These are all bell-shaped curves, and therefore it is meaningless to define a normal distribution as a bell-shaped distribution without further discription. In the article, I will explain in-depth the meaning of randomness and give proofs and results about the properties of these distributions, and what makes them differ from each other.

Most importantly, I will be deriving the curve equations (called the pdf) for each of these distributions.

Click here to download the article, or read it here:

On Continuous Distributions

Here is an article I have written about the several continuous distributions that we learnt in high-school, namely the normal distribution, t-distribution and chi-squared distributions.

These are all bell-shaped curves, and therefore it is meaningless to define a normal distribution as a bell-shaped distribution without further discription. In the article, I will explain in-depth the meaning of randomness and give proofs and results about the properties of these distributions, and what makes them differ from each other.

Most importantly, I will be deriving the curve equations (called the pdf) for each of these distributions.

Click here to download the article, or read it here: