Answer:
The sample size is too small
Step-by-step explanation:
The answer is the last one: the sample size is too small. Since we only got 3 subjects to test, maybe one of them could live for a long time after the diagnosis of Cacer and that made the average survival time go up by a lot.
In order to obtain results with a significance level higher, you need a sample size of at least 20 subjects.
Now lets see why other options wouldnt be good answers:
- For a small amount of subjects, it is unlikely to have errors in caculation
- The sample size is given
- We are not given information about the treatment and we dont even know if the subjects feel more confident with the new treatment. Also, if a Placebo effect works regularly, it shouldnt limit statistical sifgnificance
- An increase in 2 years is huge in comparison with the previous survival time.
Hey there!
When dealing with percent word problems, the word "is" means equals. Let's see what we can do with your problem.
If the small school had 60% boys, it will have 40% girls. The number of boys <em>is</em> 48, which should equal 60% of the total, which we can model below, with t representing the total number of kids. In decimal form, 60% is 0.6.
0.6t=48
We divide both sides by 0.6.
t=80
Therefore, there are 80 total kids at the school.
We can also check our answer below.
BOYS: 0.6(80)= 48
GIRLS: 0.4(80)=32
48+32=80
I hope that this helps!
I think it’s 27
explanation:
