The approach of critical value is used to determine likely or unlikely through determination whether observed test statistics is more than it would have been if null hypothesis was true. In other words, test statistics is compared to critical value and decision made.
If test statistics is more than critical value, the null hypothesis is rejected. Otherwise, null hypothesis is not rejected.
In the current scenario, test statistics (2.148) is less than critical value (2.348) and thus null hypothesis is not rejected.
Should be
153.15
Multiply 51 by 33.3% to check your work or show it
I multiplied the dimensions and divided it by 75, got 8.75 but you need to round in this situation, so 9
hope this helps :)
