What is the high-quality/low-quality difference for white applicants?

code:resume_w % filter(black==0)resume_lq % filter(high==0)resume_hq % filter(high==1)t.test(resume_lq$call_back,resume_hq$call_back)

output

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/unknownWelch Two Sample t-test data: resume_lqScall_back and resume_hq$call_back t - -1.919, of = 2410.1, p-value = 0.05511 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -0.0463976089 0.0905019727 sample estimates: mean of x mean of y 0. 0849835 0.1079313