Statistics 2

Extra activity page of the course Statistics for Data science 2 of IIT Madras B.S. degree

Data , Statistics and Probability

Week 0: Activity 1

Create my student portfolio site.

Week 0 activity 1

Week 0: Activity 2

Collect data from an interesting source and populate it on Google Spreadsheet.

https://docs.google.com/spreadsheets/d/1y-9s7eBRIDa1uMqf0JQG-A0AMcXc8QzXNRFIGv8hLOo/edit?usp=sharing

I've collected the data which contains the mobile specifications of different people . This data is collected from the people the age group between 19 and 21 years . Through this activity I observed that most of the people buy Redmi (21 counts) , Samsung (12 counts) and Vivo (12 counts) mobile phones .The average cost price of mobile phones bought is 21,974 rupees . The cost price ranges from 5,000 rupees to 1,29,999 rupees . Most of the people buy mobile phones 6GB RAM (30 counts) and 4GB RAM (27 counts) . The ROM (internal storage) they prefer is 128GB (40 counts) and 64GB (31 counts) .

Week 0 activity 2

Week 0 - Activity 3

MONTE CARLO SIMULATIONS

Monte Carlo Simulations are broad class of computational algorithms that rely on repeated random sampling to obtain numerical results . The underlying concept is to use randomness to solve problems that might be deterministic in principle . They are often used in physical and mathematical problems and are most useful when it is difficult or impossible to use other approaches . Monte Carlo methods are mainly used in three problem classes : Optimizations , Numerical integrations and generating draws from a probability distributions .

Please check the Week 0 - Activity 3 page for further details.

Week 0 activity 3

WEEK 0 - ACTIVITY 4

Populate the collected data on G - sheet and calculate the probability and check which distribution fits the data

I've collected the data which contains the mobile specifications of different people . Using this data I have found out the number of people in a group who buy a mobile with 6 GB RAM. I have compared this probability with the Binomial distribution .

Please check Week 0 - Activity 4 page for further details .

Week 0 activity 4

Week 6 - Activity 5

Collect the dataset and try to approximate a variable with the continuous random variable.

I've collected the data from kaggle.com . This data contains details about the average Height of male and female individuals from different countries across the world . I have compared this cumulative density function with Normal distribution .

Please check the Week 6 - Activity 5 page for further details .

Week 6 activity 5

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