Answer:
-0.46
Step-by-step explanation:
We have small sample sizes n1 = 9 and n2 = 9. [tex]\bar{x}_{1} = 85.11[/tex], [tex]\bar{x}_{2} = 86.56[/tex]; [tex]s_{1} = 7.47[/tex], [tex]s_{2} = 5.75[/tex].
[tex]s_{p}^{2} = \frac{(n_{1}-1)s_{1}^{2}+(n_{2}-1)s_{2}^{2}}{n_{1}+n_{2}-2} = \frac{(9-1)(7.47)^{2}+(9-1)(5.75)^{2}}{9+9-2} = 44.43[/tex]
Because Carlos conducts a study comparing the performance of individuals on the first quiz in each of two classes taken in the first term of their freshman year, the hypothesis null is [tex]H_{0}: \mu_{1}-\mu_{2} = 0[/tex], then, the observed t-value is
[tex]t=\frac{(\bar{x}_{1}-\bar{x}_{2})-0}{s{p}\sqrt{1/n1+1/n2}} = \frac{-1.45}{6.67(0.47)} = -0.46[/tex]