Finding the sample size for estimating a population proportion.
The formula is:
n = (z/m)^2 p~(1−p~)
where:
Z is the z value of the confidence level where 95% is equal to 1.96
M is the margin of error where 0.05
And p~ is the estimated value of the proportion where it is 0.50
Solution:
n = (1.96/0.05)^2 (0.5) (1-0.5)
= 1.536.64 (0.5) (0.5)
= 768.32 (0.5)
= 384.16
This is the minimum sample size, therefore we should round it up to 385. The answer is letter c.
Answer:
yes yes spare
Step-by-step explanation:
C(x)-R(x)= P(x)
understand?
cost minus how much u sold it for gives u the amt of profit
Answer:
A: Rectangle
Step-by-step explanation:
Hopefully this helps
Answer:
Answer is A.
Step-by-step explanation:
I'm pretty sure lmk if I'm wrong.
