#What is the high-quality/low-quality difference for african american applicants?

Variable Descriptions Variable Name Description Key Variables firstname applicant's first name female 1 = female black 1 = black high 1= high quality resume call back 1= applicant was called back chicago 1 = data from Chicago Detailed Information on Resume ofjobs number of jobs listed on resume yearsexp number of years of work experience on the resume honors 1=resume mentions some honors volunteer 1=resume mentions some volunteering experience military 1=applicant has some military experience empholes 1=resume has some employment holes workinschool Fresume mentions some work experience while at school email 1=email address on applicant's resume computerskills 1=resume mentions some computer skills specialskills 1=resume mentions some special skills college applicant has college degree or more Detailed Information Concerning Employer expminreq min experience required, if any eve 1=ad mentions employer is EOE manager 1=manager wanted supervisor Fsupervisor wanted secretary 1=secretary wanted offsupport 1=office support salesrep 1 sales representative wanted retailsales 1=retail sales worker wanted req 1=ad mentions any requirement for job expreq 1=ad mentions some experience requirement comreq 1=ad mentions some communication skills requirement educreq 1=ad mentions some educational requirement compreq 1=ad mentions some computer skill requirement orgreg 1=ad mentions some organizational skills requirement manuf 1=employer industry is manufacturing transcom 1=employer industry is transport/communication bankreal 1=employer industry is finance, insurance, real estate trade 1=employer industry is wholesale or retail trade busservice 1=employer industry is business and personal services othservice 1=employer industry is health, educ. and social services missind 1=employer industry is other/unknown> resume_b resume_1b resume_hb t. test(resume_lbScall_back, resume_bScall_back) Welch Two Sample t-test data: resume_LbScall_back and resume_b$call_back t - -0.30433, df - 2459.7, p-value = 0.7609 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -0. 01931711 0.01412672 sample estimates: mean of x mean of y 0. 06188119 0.06447639