<span>Given are the following data:
Heart failure causes:
84% natural occurence
16% outside factors
18 individuals (sample size)
1. What is the probability that 3 individuals have conditions caused by outside factors?
Probability = 3/18 * 0.16 = 0.0267 or 2.67%
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Answer:
A sample of 997 is needed.
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of
, and a confidence level of
, we have the following confidence interval of proportions.
In which
z is the z-score that has a p-value of
.
The margin of error is of:

A previous study indicates that the proportion of left-handed golfers is 8%.
This means that 
98% confidence level
So
, z is the value of Z that has a p-value of
, so
.
How large a sample is needed in order to be 98% confident that the sample proportion will not differ from the true proportion by more than 2%?
This is n for which M = 0.02. So






Rounding up:
A sample of 997 is needed.
Answer:
not sure if it's ryt but I think it's A
Answer:
155
Step-by-step explanation:
5*5=25
((5*13)/2)*4=130
130+25=155
Answer:
30 centimeters
Step-by-step explanation:
120 ÷2 =60 now you must use only .5 of that number so you have thirty