Answer with explanation:
Let
be the population mean.
Null hypothesis :
![H_0: \mu\geq 6.5](https://img.qammunity.org/2020/formulas/mathematics/college/ijfje9thmb2u8yg3u4ayj1l1hndczhxe9f.png)
Alternative hypothesis :
![H_a: \mu<6.5](https://img.qammunity.org/2020/formulas/mathematics/college/104nqtm61qhz1nh00mpysptq1p9ytu2oeu.png)
Since alternative hypothesis is left-tailed , so the test is a left-tailed test.
Since n= 8 <30 , so we use t-test.
Test statistic for population mean :
![t=\frac{\overline{x}-\mu}{(\sigma)/(√(n))}](https://img.qammunity.org/2020/formulas/mathematics/college/m5tz3dq51p25pt0zyjyoxpev73yiiy3kdz.png)
![t=(6.2-6.5)/((0.49)/(√(8)))\approx-1.73](https://img.qammunity.org/2020/formulas/mathematics/college/tbezrrg7yk0y0divgs1edcp6usm6avc8f8.png)
Critical value for t=
![t_(n-1, \alpha)=t_(7,0.05)=1.895](https://img.qammunity.org/2020/formulas/mathematics/college/gfdr6z9d80zv1q61vwibcs9ce7k4n7io96.png)
Since the absolute t-value (1.73) is less than the critical t-value(1.895), it means we are fail to reject the null hypothesis.
Thus , we conclude that we have enough evidence to support the university’s claim.