Answer:
<h3>If the p-value is less than the significance level, we reject the null hypothesis.</h3>
Step-by-step explanation:
When we are trying to perform a <em>right-sided hypothesis test</em> (which is the case in this problem), we have a 
given by the significance level and a 
given by the alternative hypothesis.
is a value such that the area under the normal curve N(0,1) is less than the level of significance, in this case 0.05, which is 
is a value that we find (if the sample size of the data we collet to reject the null hypothesis is big enough) after computing the following formula:
where
is the mean of the sample
is the mean established in the null hypothesis
is the standard deviation of the sample
is the size of the sample
If falls to the right of then we reject 
because the area under the normal curve to the left of is less than 0.05.
But the area under the normal curve to the left of is precisely the p-value (see picture attached).
So, if the p-value is less than the significance level, we reject the null hypothesis.
