UBalt Statistical Data Analysis Mini Cases using Baltimore - PDF document

Mini ‐ Cases using Baltimore Neighborhood Alliance Indicators 18 Nov 2013 UBalt – Statistical Data Analysis Mini ‐ Cases using Baltimore Neighborhood Alliance Indicators • Stude nt Bo dy o Mix o f tra ditio na l a nd no n-tra ditio na l stude nts By o Mo stly tra nsfe rs fro m c o mmunity c o lle g e s Assista nt Pro fe sso r M Gise la Ba rdo ssy o 50/ 50 Mille nnials and Adult L e arne rs UBalt – Statistical Data Analysis Mini ‐ Cases Objectives • Co urse Co nte nt • Co mple me nt c lass c o nte nt o Se c o nd c o urse in sta tistic s • U se Re al Data o Re vie w o f De sc riptive Sta tistic s, I nfe re ntia l • E nhanc e Co mmunity Aware ne ss Sta tistic s and Re g re ssio n • Pro vide Hands-o n E xpe rie nc e • Prac tic e Busine ss Co mmunic atio n Baltimore Neighborhood Indicators Alliance Descriptive Statistics • De sc riptive sta tistic s • Busine ss me mo • So me indic ato rs: po pulatio n, numbe r o f male s and fe male s, ave rag e ho use ho ld size • Oppo rtunitie s • I ssue s 2013 ‐ Bardossy ‐ DSI ‐ MSMESB ‐ Slides.pdf 1

Mini ‐ Cases using Baltimore Neighborhood Alliance Indicators 18 Nov 2013 Descriptive Statistics Inferential Statistics Racial Total Total Female Diversity Average • Hypo the sis T e sting Population Population Index Household Size count 55 55 55 55 • I ssue s mean 11,194.98 5,973.71 36.42 2.43 minimum 4101 2368 7.33 1.55 • Sample ho me pric e s and e valuatio ns maximum 23557 12769 77.77 3.31 range 19456 10401 70.44 1.76 • Co mpare ne ig hbo rho o ds standard deviation 4,277.69 2,307.32 21.99 0.33 1.5 2 2.5 3 3.5 4 0 5000 10000 15000 20000 Average Household Size Total Female Population Inferential Statistics Regression • E xplain ho me pric e s indic ato r 1) Ave ra g e living spa c e • Parsimo nio us re g re ssio n mo de l 2) Ave rag e sale s pric e • L 3) Ave rag e sale s pric e pe r o c atio n (E ast/ We st, squa re fo o t Do wnto wn/ I nne r/ Oute r Ring ) 4) Ave rag e sale s pric e and • Numbe r o f vac ant pro pe rtie s to tal a sse sse d va lue • Pe rc e ntag e Owne r-o c c upie d Success Stories Questions and Comments • Majo r in Re al E state E ma il Pro f, Ba rdo ssy and E c o no mic at mbardo ssy@ ubalt.e du De ve lo pme nt • “Vac ant Oppo rtunitie s” • Wo n 2 nd Plac e U SCL AP Co mpe titio n 2013 ‐ Bardossy ‐ DSI ‐ MSMESB ‐ Slides.pdf 2

Mini ‐ Cases using Baltimore Neighborhood Alliance Indicators By Assistant Pro fe sso r M Gise la Bardo ssy

UBalt – Statistical Data Analysis • Stude nt Bo dy o Mix o f traditio nal and no n-traditio nal stude nts o Mo stly transfe rs fro m c o mmunity c o lle g e s o 50/ 50 Mille nnials and Adult L e arne rs

UBalt – Statistical Data Analysis • Co urse Co nte nt o Se c o nd c o urse in statistic s o Re vie w o f De sc riptive Statistic s, I nfe re ntial Statistic s and Re g re ssio n

Mini ‐ Cases Objectives • Co mple me nt c lass c o nte nt • Use Re al Data • E nhanc e Co mmunity Aware ne ss • Pro vide Hands-o n E xpe rie nc e • Prac tic e Busine ss Co mmunic atio n

Baltimore Neighborhood Indicators Alliance

Descriptive Statistics • De sc riptive statistic s • Busine ss me mo • So me indic ato rs: po pulatio n, numbe r o f male s and fe male s, ave rag e ho use ho ld size • Oppo rtunitie s • I ssue s

Descriptive Statistics Racial Total Total Female Diversity Average Population Population Index Household Size count 55 55 55 55 mean 11,194.98 5,973.71 36.42 2.43 minimum 4101 2368 7.33 1.55 maximum 23557 12769 77.77 3.31 range 19456 10401 70.44 1.76 standard deviation 4,277.69 2,307.32 21.99 0.33 1.5 2 2.5 3 3.5 4 0 5000 10000 15000 20000 Average Household Size Total Female Population

Inferential Statistics • Hypo the sis T e sting • I ssue s • Sample ho me pric e s and e valuatio ns • Co mpare ne ig hbo rho o ds

Inferential Statistics 1) Ave rag e living spac e 2) Ave rag e sale s pric e 3) Ave rag e sale s pric e pe r square fo o t 4) Ave rag e sale s pric e and to tal asse sse d value

Regression • E xplain ho me pric e s indic ato r • Parsimo nio us re g re ssio n mo de l • L o c atio n (E ast/ We st, Do wnto wn/ I nne r/ Oute r Ring ) • Numbe r o f vac ant pro pe rtie s • Pe rc e ntag e Owne r-o c c upie d

Success Stories • Majo r in Re al E state and E c o no mic De ve lo pme nt • “Vac ant Oppo rtunitie s” • Wo n 2 nd Plac e USCL AP Co mpe titio n

Questions and Comments E mail Pro f, Bardo ssy at mbardo ssy@ ubalt.e du