**1) DESCRIPTION**

80% of people who purchase car insurance are men. If the owners of 9 car insurance are randomly selected, then find the probability using binomial distribution that exactly X out of them are men

Read a number X from a line of input

Print the output rounded till 4 decimal point

**Example:**

**Sample Input:**

`6`

**Sample Output:**

`0.1762`

**2) DESCRIPTION**

If the probability of a profit or loss in an investment is equal, find the probability using geometric distribution that an investor’s k investment is his first profit

Take input from the user k

Print the ouput and round up the output till three decimal points

**Example:**

**Sample Input:**

`4`

**Sample Output:**

`0.062`

**3) DESCRIPTION**

Conditional Probability

The probability of an event which is conditioned or dependent on another event is a Conditional Probability

Conditional Probability = P(A|B) = P(A and B)/P(B)

P(A|B) is the probability of event A occurring, given that event B occurs

You have the Member dataset, which is an input data file Members.csv present at the

location /data/training/blackfriday.csv

This dataset contains information about information related to the people . Here’s a brief description of the columns in the sample dataset

**Dataset Description:**

The dataset contains data of 8 rows and 4 different columns. The columns are:

**Gender:** whether the particular person is male of female

**Height: **Height of the person

**Weight: **Weight of the person

**Foot-size:** Foot-size of the person

This is a preview of the data under consideration:

**Question:**

Calculate the probability of members height being more than 5 inches, given that member is female

**Input Format:**

The file to be read will be Members.csv, which contains the data as mentioned above. This file is in .csv format.

Example:

**Sample Input:**

`https://media-doselect.com/Members.csv`

**Sample Output:**

`0.52`

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