androsova / statistics

Projects on stats analysis

Statistics

This repo contains my completed assignments in R for Statistics courses.

Statistics with R Specialization (Coursera) by Duke University

House price prediction

• Exploratory data analysis (https://htmlpreview.github.io/?https://github.com/androsova/statistics/blob/master/EDA_peer.html)

• Final project (https://rawgit.com/androsova/statistics/master/Final_peer.html)

Instructions

For this assignment, you will need to imagine that you are a statistical consultant who has recently been hired by a real estate investment firm based in Ames, Iowa. They have had an intern collect and collate all of the recent house sales in Ames and have put together a large spreadsheet that contains the sale price of each house along with many of its physical features. Your employers want you to take this data and develop a model to predict the selling price of a given home. They hope to use this information to help assess whether the asking price of a house is higher or lower than the true value of the house. If the home is undervalued, it may be a good investment for the firm.

Your employers are savvy and have been successfully investing in real estate for a long time but they hope a more model-based approach will help focus their search, improving efficiency and the bottom line. The firm plans to use a combination of your model and industry professional expertise to make its investment decisions. Because of this, the firm is not willing to accept a black box solution - they have specified that they must be able to understand the details of your model, including its strengths and its weaknesses. None of the current employees at the firm have any experience or expertise in statistics, statistical inference or modeling - for example you should not assume they will know what a p-value or a linear regression is. As such you will need to explain all of your approaches in layman's terms throughout this project.

Exploratory data analysis of Behavioral Risk Factor Surveillance System (BRFSS)

This project (https://htmlpreview.github.io/?https://github.com/androsova/statistics/blob/master/intro_data_prob_project.html) looks into three questions:

• Is the number of sleeping hours correlated with poor mental or physical health?
• In which US state(s) people have on average high body mass index (BMI) and drink large number of sugar-sweetened drinks?
• Is the alcohol drinking habit is correlated with gender?

Statistical inference with General Social Survey (GSS)

This project (https://htmlpreview.github.io/?https://github.com/androsova/statistics/blob/master/stat_inf_project.html) looks into a relationship between abortion decision and religion belief (Protestant, Catholic, Jewish, etc.).

Movie score prediction

• Linear regression approach (https://htmlpreview.github.io/?https://github.com/androsova/statistics/blob/master/reg_model_project.html)

• Bayesian statistics approach (https://htmlpreview.github.io/?https://github.com/androsova/statistics/blob/master/bayesian_project.html)

Instructions

Your boss has just acquired data about how much audiences and critics like movies as well as numerous other variables about the movies. This dataset is provided below, and it includes information from Rotten Tomatoes and IMDB for a random sample of movies. She is interested in learning what attributes make a movie popular. She is also interested in learning something new about movies. She wants your team to figure it all out.