Apsychologist was interested in whether there was a gender difference in the use of e-mail. she hypothesized that because women are generally better communicators than men, they would spend longer using e-mail than their male counterparts. to test this hypothesis, the researcher sat by the e-mail computers in her research methods laboratory and when someone started using e-mail, she noted whether they were male or female and then timed how long they spent using e-mail (in minutes). based on the spss output below, what should she report? group statisticsgender nmeanstd. dev. std. errormeantime using e-mail (day 2) male female 885.00032.0004.503940.04641.592414. 1585levene's test for equality of variances f sig. time using email (day 2) equal variances assumed equal variances not assumed12.999 .003t-test for equality of meanstdfsig. (2-tailed)time using email (day 2) equal variances assumed equal variances not assumed-1.895-1.895147.18.079.099me an differencesstd. error difference95% conf. intervals lower upperequal variances assumed equal variances not assumed-27.000-27.00014.247814.2478 -57.558 3.558 -60.523 6.523a. females spent significantly more time using e-mail than males, t(7.18) = -1.90, p < .05.b. females spent significantly more time using e-mail than males, t(14) = -1.90, p < .05.c. females and males did not differ significantly in the time spent using e-mail, t(7.18) = -1.90, ns. d.females and males did not differ significantly in the time spent using e-mail, t(14) = -1.90, ns.