Generally, statistics are applied for collecting, organizing and analyzing the data(a piece of information). In other words, analyzing the numerical information and extracting information from data.

A Statistic is a measure that tells only a Sample of the population. **Eg**: Conducting a Quiz to Question random (voluntary) people.

**Descriptive Statistics:** It involves the method of picturing information observed from samples and population

**Inferential statistics: **Method of using information from a sample to conclude the population.

- Statistics deals with
**population and sample.**

A parameter (P) describes the enter population **Eg**: Conducting a quiz to question random (voluntary) people

**Population** :

- A
**…**

In this article, we will discuss python from beginner to expert. To understand python there are no prerequisites is needed as I already told python if for everyone. I would like to thank freeCodeCamp and GUVI are helped me to understand complexity in python.

∘ History of python

∘ Integrated Development Environment :

∘ Installation :

∘ Python installed or not

∘ What is a Comment?

∘ Run python

∘ Variables

∘ Data types in python

∘ string

∘ working with string

∘ Escape character

A python is an object-oriented programming language that was created by **Guido van Rossum**** **and…

∘ What is probability Distribution ?

∘ Mean

∘ Variance

∘ Standard Deviation

∘ Types of Probability Distribution

∘ Discrete Distributions

- We know that probability is the chance of event occurring success(1) or failure(0), let us discuss about the term
`Distribution`

means how the ‘possible values’ a variable can take and how they*occur*. - If you want to know more about probability you can click
**here**

**P(Y=y)** or **P(y)**

- Y — actual outcome of an event(total)
- y — one of possible outcomes(specific)

A distribution can be carried out by the following characteristics

- Mean (average value)
- Variance (
**σ²**) - Standard deviation

Mean…

- Sets are used to eliminate duplication
**Event :**Set of outcomes, If set is empty it is called as**empty set**or**null set**denoted by**Ø .**

- An non-empty set can be finite or infinite

**Example :**

- X
**∈**A (X in A) - The above tells that
**X**is the element of set**A** - Where A -is set, X -is element

(OR)

- A
**∋**X (A contain x) - Where A -is set, X -is element.

*Representing not a part of set :-*

- X
**∉**A ( which means X is a element set not in A ) - A
**∌**…

Combinatorics deals with combinations of objects from a **finite set**. In order to perform combinatorics, they have some restrictions (condition) like avoiding **repetition** and **order** to get a *number of favorable outcomes.*

Combinatorics has three parts, Namely

- Permutation
- Variations
- Combinations

- Permutation represents a number of different possible ways we can
**arrange**a**set of elements**. Eg: a*jigsaw puzzle.*

- These elements can be in numbers, letters, etc.,
- Example: Consider three racers(drivers) namely Max, Bob, Ram if max won 1st place then Bob will be 2nd place and Ram will be 3rd place otherwise Bob won 3rd place and ram won…

Hi, if you are started to learn data science? then this article is for you I have already shared my experience of what I Learned in Statistics to kickstart my Data Science career, this is the continuation of the “**Learn Statistics for data science**” if you haven’t read I would suggest you go for it to have clear knowledge about statistics😃.

`Let us see the fundamental of statistics…`

- A variable can take many values like
**Age**is a variable. Remember a variable contains a value. Gender — male. …*for example*

Generally, cybersecurity is used to prevent data exploitation from network attacks or unauthorized entry. The NIST — National Institute of Standards and Technology provides a set of rules to prevent and protect data from illegal entry.

The principle of CIA stands for Confidentiality, Integrity, Availability, which is used to protect information from unauthorized access, modification.

**Confidentiality: **Prevents data from the illegal approach.

**Integrity: **integrity will secure information like data encryption. This uses hash values for data integrity verification. **Eg: **downloading os from the internet later verification is made to install the operating system.

**Availability**: This verifies that hardware components, software…

The continuous Distribution follows

Normal Distribution

Student T Distribution

Logistic Distribution

Exponential Distribution

- The normal distribution can be denoted by
**N(μ,σ²)**The normal distribution occurs in nature as well as in various shape and forms.

⚡ The probability distribution is base for the statistics without the knowledge of probability you will be in trouble to learn statistics 👻. In this article we will discuss about the various types in Discrete Distribution.

**The types of Discrete Distributions are**

- ✈ Discrete Uniform Distribution.
- ✈ Bernoulli Distribution.
- ✈ Binomial Distribution.
- ✈ Poisson Distribution.

Usually all outcomes have equal probability or same probability, which are followed by ranges is referred as discrete uniform distribution.

✌️ The bernoulli distribution is denoted by “Bern” followed by probability of referred outcomes ‘**Bern(P)’. **This distribution is the special privilege of binomial distribution.

- ‘An…

- Probability is a chance of getting success and failure, those are represented in a
**fractions**and**percentages**.

**Example :**A coin is tossed, it can be categorized preferred outcomes(1) and possible outcomes(2)

Learning Statistics