Answer:
True
Step-by-step explanation:
Type I and Type II are not independent of each other - as one increases, the other decreases.
However, increases in N cause both to decrease, since sampling error is reduced.
A small sample size might lead to frequent Type II errors, i.e. it could be that your (alternative) hypotheses are right, but because your sample is so small, you fail to reject the null even though you should.
5000-850=
$4150 left to raise
$4150/83 students=
$50/student
Answer:
4÷68=1/17 is correct answer
Answer:
35
Step-by-step explanation:
10 times 1/10 equals 1, so you don't need that since you are multiplying, but if you do, you end up with 35 x 1, which is still 35
35 is your answer
Hope this helps!
Answer:
5:17pm
Step-by-step explanation:
