Considering the desired test, it is found that:
1)
The null hypothesis is: [tex]H_0: \mu = 5[/tex]
The alternative hypothesis is: [tex]H_1: \mu < 5[/tex]
2) Since the p-value is greater than the standard significance level of 0.05, we do not reject the null hypothesis.
3) The p-value is the probability of finding a measure as extreme as the one found in the sample, considering any of the three kind of tests: left-tailed, right-tailed and two-tailed.
At the null hypothesis, we test is the mean weight is still the same, that is:
[tex]H_0: \mu = 5[/tex]
At the alternative hypothesis, we test if the weight has decreased, that is:
[tex]H_1: \mu < 5[/tex]
Question 2:
Since the p-value is greater than the standard significance level of 0.05, we do not reject the null hypothesis.
Question 3:
The p-value is the probability of finding a measure as extreme as the one found in the sample, considering any of the three kind of tests: left-tailed, right-tailed and two-tailed.
More can be learned about hypothesis tests at https://brainly.com/question/16313918