This repository contains an analysis on Boston housing agency dataset. The following describes the dataset variables:
· CRIM - per capita crime rate by town
· ZN - proportion of residential land zoned for lots over 25,000 sq.ft.
· INDUS - proportion of non-retail business acres per town.
· CHAS - Charles River dummy variable (1 if tract bounds river; 0 otherwise)
· NOX - nitric oxides concentration (parts per 10 million)
· RM - average number of rooms per dwelling
· AGE - proportion of owner-occupied units built prior to 1940
· DIS - weighted distances to five Boston employment centres
· RAD - index of accessibility to radial highways
· TAX - full-value property-tax rate per $10,000
· PTRATIO - pupil-teacher ratio by town
· LSTAT - % lower status of the population
· MEDV - Median value of owner-occupied homes in $1000's
First I Generate basic statistics and visualizations for upper management. Then answer to 4 question with probability analysis.
I used T-test, Anova, Pearson Correlation and Regression analysis.
Here is the difference