1. The male and female groups in this study are considered independent because “the two sets of data were not taken from the same subjects and if the scores are not related” (Grove. 2007, p. 218). More specifically, the groups were formed based on gender and no matching on any variables occurred. 2. t = –3.15 describes the difference between women and men for the mental health (MH) variable in this study. A t value of -3.15 is significant in that “the larger the calculated t ratio, in absolute value, the greater the difference between the two groups” (p. 217). Plus, its corresponding p = 0.002 value is significantly smaller than the alpha (a) that was set at 0.05 for this study. 3. t = –1.99 value for health functioning is also significant in that its corresponding p = 0.049 is well below the alpha (a) that was set at 0.05 for this study. The meaning of this result in this study is that we can accept the alternative hypothesis: women experience lower health functioning post MI than men. Moreover, the difference is statically significant. 4. The aforementioned mental health (MH) t ratio of -3.15 indicates the largest difference between the males and females post MI in this study. The ratio is significant because, as mentioned previously, its corresponding p = 0.002 value is significantly smaller than the alpha (a) that was set at 0.05 for this study. 5. t = –2.50, p = 0.01; t = –2.54, p = 0.007. t = –2.54 has the smaller p value at p = 0.007 than t = –2.50 with p = 0.01. The smaller p value indicates more significant findings. This result means that the difference between the two groups was more significant for the role-physical (RP) than for the physical component score (PCS). 6. A Type 1 error is “occurs when the researcher rejects the null hypothesis when it is in actuality true” (p. 217). There is a risk of a Type I error in this study because 15 t-tests were conducted and multiple t-tests cause an increased risk for