T-Tests and ANOVA on Fire Risk Index

Adding Ecometric Measurements from 311 Data Continuing my work on a fire risk index for Boston residential neighborhoods, I added new “ecometric” measurements from the City of Boston’s 311 system (also known as Constituent Relationship Management—CRM). I was hoping to find some correlations between residential fire incidents and some of these CRM-based measurements that are … More T-Tests and ANOVA on Fire Risk Index

Variation in New Construction Building Permits by Neighborhood Type

This week, I practiced the T-test to analyze the difference of new construction in residential neighborhood and non-residential neighborhood? Also, I used ANOVA to analyze the difference of new constructions in the four types of neighborhood: Downtown, Industrial/Institutional, Park and Residential. Is there more new construction permit in residential neighborhood? T-test Results Welch Two Sample … More Variation in New Construction Building Permits by Neighborhood Type

Do areas with different building value dispersion exhibit different levels of ethnic diversity?

This week we’ll put R’s inferential statistics functions to work. Our question is: “Do areas with different building value dispersion exhibit different levels of ethnic diversity?” To begin, we’ll load Tax Assessor’s and Census data: TAdata <- read.csv(“TAdata.csv”) demographics <- read.csv(“Tract Census Data.csv”) Now we’ll estimate a building value dispersion index, intended to represent how … More Do areas with different building value dispersion exhibit different levels of ethnic diversity?

Testing Differences Between Means of Relevant Variables to Census Tract Data

  As a part of this assignment I had to compare the means of certain variables, and to establish some relationships between those variables using the T-Test, and ANOVA. Consequently, I looked at the relationship between a numbers of groups that are relevant to my future analytical framework especially the variable “p65older” from the census … More Testing Differences Between Means of Relevant Variables to Census Tract Data

Analyzing variables, comparing means with child care

This week we are using t-tests and ANOVA tests to further analyze our data. I am continuing to . I wanted to compare means between schools and after school programs, mainly to as another check to ensure that my data was, in fact, counting schools and after school programs as different entities, considering many after school … More Analyzing variables, comparing means with child care

Analysis of variance of cultural and business scores across neighborhoods

  T test I first wanted to look at the difference between the mean of the cultural zoning score and the mean of the business score in the aggregated dataset at the NSA level   t.test(Final$CulturalZoningScore.x,Final$BusinessZoningScore) Welch Two Sample t-test data: Final$CulturalZoningScore.x and Final$BusinessZoningScore t = 0.56134, df = 129.61, p-value = 0.5755 alternative hypothesis: … More Analysis of variance of cultural and business scores across neighborhoods

Looking at the Age of Buildings in Boston with Statistical Tests

This week, I used our new statistical analysis tools to continue to examine the age of the buildings in the Tax Assessor’s Parcel Data. The initial analysis that I did was a one sample T-Test to evaluate the average age of buildings in Boston to the average age of the housing stock in Massachusetts as … More Looking at the Age of Buildings in Boston with Statistical Tests