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Mini-Cases using Baltimore Neighborhood Alliance Indicators

Mini-Cases using Baltimore Neighborhood Alliance Indicators. By Assistant Professor M Gisela Bardossy. UBalt – Statistical Data Analysis. Student Body Mix of traditional and non-traditional students Mostly transfers from community colleges 50/50 Millennials and Adult Learners.

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Mini-Cases using Baltimore Neighborhood Alliance Indicators

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

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

  3. UBalt – Statistical Data Analysis • Course Content • Second course in statistics • 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

  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 2nd Place USCLAP Competition

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

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