Answer:
Step-by-step explanation:
Given that a part of a study of the treatment of anemia in cattle, researchers measured the concentration of selenium in the blood of 36 cows who had been given a dietary supplement of selenium (2 mg/day) for one year.
If x is the selenium concentration then
X has mean= 6.21 mg/dl
and std dev = 1.84
Sample size n = 36
std error of sample = ![\frac{1.84}{\sqrt{36} } \\=0.307](https://tex.z-dn.net/?f=%5Cfrac%7B1.84%7D%7B%5Csqrt%7B36%7D%20%7D%20%5C%5C%3D0.307)
Margin of error for 95%
![1.96(0.307)=0.602](https://tex.z-dn.net/?f=1.96%280.307%29%3D0.602)
Confidence interval = ![(6.21-0.605, 6.21+0.605)\\= (5.605, 6.815)](https://tex.z-dn.net/?f=%286.21-0.605%2C%206.21%2B0.605%29%5C%5C%3D%20%285.605%2C%206.815%29)
Your answer would be 9/27 but can be converted to 1/3. Hope this helps
Answer:
She can determine that while there is an association between the variables, there is no correlation, and she cannot determine causation.
Step-by-step explanation:
Since there is an arch shape to her graph, we know that as one variable changes, the other changes in the same manner. This means there is an association between the variables.
However, since the graph is not linear, there is no correlation between the variables. Since there is no correlation, we cannot determine causation.
Mark me as brainiest
1 and one - twelfth
because 12gies 3 times in 37