Basics of Statistics – Continuous Probability Distribution

Let us start today’s topic on uniform probability distribution (I will discuss on continuous dist today). Now, the concept comes in two forms: discrete and continuous. If I toss a coin then there are two possible outcomes: Head and Tail. If I roll a die, then it always return a digit (1 or 2or 3or4 … Read moreBasics of Statistics – Continuous Probability Distribution

Basics of Statistics – Binomial Distribution

Today, I would like to extend my previous topic on discrete probability distribution with the concept of Binomial Distribution. A binomial distribution is a specific probability distribution. It is used to model the probability of obtaining one of two outcomes, a certain number of times k out of fixed number of trials N of a discrete random event. … Read moreBasics of Statistics – Binomial Distribution

Basics of Statistics – Discrete Variable Distribution

In today’s topic I want to explain how we plot the distribution of a random discrete variable. Key terms: expected mean, probability, variance and standard deviation. Let’s explain it by an example. For rolling a Die, let us assume a random variable X (x=1,2,3,4,5,6). The probability is P(x) =1/6. That is exactly same for all … Read moreBasics of Statistics – Discrete Variable Distribution