Answer with explanation:-
Let
be the population mean.
By considering the given information , we have
, since the alternative hypothesis is right tailed , so the test is right tail test.
Given : Sample size : n=64, which is a large sample (n>30) so we use z-test.
Sample mean :

Then, Standard deviation :

Test statistic for population mean :-

i.e.

P-value =

Since the p-value is less than the significance level , so we reject the null hypothesis that mean we can accept the alternative hypothesis.
Thus , we conclude that the true mean concentration can exceeds 22 blops .