Let [tex]\mu[/tex] be the population mean.
Null hypothesis : [tex]H_0: \mu\geq 6.5[/tex]
Alternative hypothesis : [tex]H_a: \mu<6.5[/tex]
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 : [tex]t=\dfrac{\overline{x}-\mu}{\dfrac{\sigma}{\sqrt{n}}}[/tex]
[tex]t=\dfrac{6.2-6.5}{\dfrac{0.49}{\sqrt{8}}}\approx-1.73[/tex]
Critical value for t=[tex]t_{n-1, \alpha}=t_{7,0.05}=1.895[/tex]
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.