3,000....Please mark brainliest.....
So, at the beginning there are a total of 25*3=75 siblings (we can assume that each of them had exactly 3 siblings, that's what average means; that we can assume this).
Now we have 25+1=26 students and the number of siblings is 75+8=83
and the average is
![\frac{83}{26}= 3.192](https://tex.z-dn.net/?f=%20%5Cfrac%7B83%7D%7B26%7D%3D%203.192)
, and rounded it's 3.19.
If you graph the equation then one of the point should be on (5,1)
Answer:
This type of error would lead to the conclusion that the dosage level is less effective than it really is.
Step-by-step explanation:
A Type I error happens when we reject the null hypothesis even when it is true.
In this case, this would happens when the sample taken gives results that end by pure chance in the rejection region, and nont because the null hypothesis is not true.
This type of error would lead to the conclusion that the dosage level is less effective than it really is.