Answer:
See explanation below
Step-by-step explanation:
It depends on what null hypothesis is under consideration.
One of the most common null hypothesis that are subject of study in a given statistical model is <em>the mean</em> predicted by the model.
In this case, the scientist probably observed that the mean of tusk lengths she obtained in a sample did not match the one predicted with the H-W equation.
So, she decided to perform a statistical study by collecting random samples and measuring the tusk lengths to determine a new possible mean and contrast it against the one predicted by the H-W equation.
<em>Let's call M the mean predicted by the H-W equation, and S the mean obtained by the scientist.
</em>
If M different of S and the p-value is 0.021, that means that <em>there is at most 2.1% of probability that the difference between M and S could be due to a random sampling error.
</em>
It should be kept in mind that the p-value does not represent the probability that the scientist is wrong.
Answer: There is a strong positive correlation between Yumiko's exercise time and how far she runs.
Step-by-step explanation:
The correlation Coefficient value measures the relationship between two variables in other it determine the strength of association between them. The Coefficient could take any value between - 1 to + 1 with negative r values depiction negative relationships while positive values means positive relationship. The closer the r value is to either 1 or - 1, the stronger the relationship between hen m
Answer:
the answer is 
Step-by-step explanation:
hope this helps :)
Try using Symbolab, I use it all the time it gives the correct answer and it gives good explanations.
Answer:
B.
Step-by-step explanation:
The domain of a relation is all the x-coordinates in the relation, where no x-coordinate repeats. In the relation {(0,5), (5,2), (0,-4), (1,5)}, the domain is {0, 1, 5} because those are the only x-coordinates in the points.
Therefore, the answer is B.
Have a lovely rest of your day/night, and good luck with your assignments! ♡
