1. Mini-Cases using Baltimore Neighborhood Alliance Indicators By Assistant Professor M Gisela Bardossy

2. UBalt – Statistical Data Analysis Student Body o Mix of traditional and non-traditional students o Mostly transfers from community colleges o 50/50 Millennials and Adult Learners

3. UBalt – Statistical Data Analysis Course Content o Second course in statistics o Review of Descriptive Statistics, Inferential Statistics and Regression

4. Mini-Cases Objectives Complement class content Use Real Data Enhance Community Awareness Provide Hands-on Experience Practice Business Communication

5. Baltimore Neighborhood Indicators Alliance

6. Descriptive Statistics Descriptive statistics Business memo Some indicators: population, number of males and females, average household size Opportunities Issues

7. Descriptive Statistics Total Population Total Female Population Racial Diversity Index Average Household Size count55 mean11,194.985,973.7136.422.43 minimum410123687.331.55 maximum235571276977.773.31 range194561040170.441.76 standard deviation4,277.692,307.3221.990.33

8. Inferential Statistics Hypothesis Testing Issues Sample home prices and evaluations Compare neighborhoods

9. Inferential Statistics 1) Average living space 2) Average sales price 3) Average sales price per square foot 4) Average sales price and total assessed value

10. Regression Explain home prices indicator Parsimonious regression model Location (East/West, Downtown/Inner/Outer Ring) Number of vacant properties Percentage Owner-occupied

11. Success Stories Major in Real Estate and Economic Development “Vacant Opportunities” Won 2 nd Place USCLAP Competition

12. Questions and Comments Email Prof, Bardossy at mbardossy@ubalt.edu