# Descriptive Statistics Part 4

**Now **,** In this tutorial** we will learn about **distribution **or **distribution of the continuous data.**

There is some of **distribution **that describe the **continuous **data.

**1- Symmetric distribution**

**2- Skew distribution**

**3- Center of distribution**

**4- Location of distribution**

**5- Spread of distribution**

**6- Normal distribution**

**7- Binomial distribution**

**Etc.**

**Distribution is useful to know in depth about continous data or analysis and describe the data very precisely.**

**So**, now in this above table . We will check the **distribution **of the **salary column**.

As we know **salary column **is **continuous **data elements.

For analysis the salary tables in depth we use **distribution**. how salary is **distributed**.

**And we will check **this **salary column **come in which distribution.

*1- Symmetric Distribution*

A **symmetric distribution **is one where the l**eft and right hand sides** of the **distribution are roughly equally balanced around the mean.** **This histogram below shows a typically symmetric distribution.**

**For symmetric distribution, the mean is approximately equal to the median. for a symmetric distribution the left and right tails are equally balanced meaning that they have about the same length.**

This figure below shows the **box **& **whisker diagram **for a typically **symmetric data set.**

It’s **median **lie in the **middle **of the first and third **quartile**.

Along the **histogram, box **plot is another way of representing **continuous **data elements.

2- Right Skewed distribution

A **distribution **that is **skewed **right (also known as **positively skewed **) is shown below.

Now , the picture above is not **symmetric **around the mean anymore. for a right **skewed distribution **the mean is typically greater than the **median **. also noticed that the tail of the **distribution **on the right hand is longer than the left hand size.

From the **box **and **whisker diagram **we can also see that the **median **is** closer to the first quartile than the third quartile**. The fact that the right hand side **tail **of the **distribution **is **longer **than the **left**.

3- Left skew distribution

It’s completely opposite of **right skew distribution.**

**After **learnt all about **distribution **and **different **type of **distribution**.

**So ,time to analysis some distribution examples —**

**Q- Let us know above distribution is what kind of distribution?**

**Ans — Type in comment box.**

**Now**, take example for** analysis the distribution of the data without draw any diagram**

Giving the **Senario**,

**Suppose we take a sample record income of individuals or we recorded the height of an adult population as percentages.**

**So, it’s good to think about what shape would you except for the distribution of these variable before collecting them, so think and what shape you will except that.**

4- Binomial distribution-

We saw many **distribution above **. they all used in** continuous data ,** but **binomial distribution** use in **Discrete** data, like how much **no of success** or **failure **. **it’s discrete 0 or 1**. so , we use **binomial distribution**.

**Note **— If **Discrete data **is large so,** binomial distribution **is same as** normal distribution.**

Some Important points-

**Describe the shape of a distribution aside from describing the shape of the distribution we also think about some measure of location as well as dispersion or variability.****First think about center where the center of the distribution so , see all diagram before we draw center is defined there.**

**Center can be — Mean , Median and other measurement.**

**Measure of location — Q1, Q2, median , lower , upper , variability .( for measure of location we use box plot).****Measure of spread — we will discuss later chapters.**

**If any doubt regarding it. please comment below and ask feel free.**

**If any doubt regarding this tutorial ask feel free on LinkedIn- **http://linkedin.com/in/puneet166

**GitHub workspace link- ****https://github.com/puneet166?tab=repositories**