There are 350 families in one area in Brooks city. A poll of 50 families reveals the mean annual charity contribution is $550 with a standard deviation of $85.
The same study of charity contributions revealed that 20 of the 50 families sampled do charity regularly.
1. Should the finite-population correction factor be used? Why
or why not?
2. Construct the 95 percent confidence interval for the proportion
of families doing charity regularly.
1)
Yes as the finite population is given
Finite-population correction factor is given by
√{(N-n)/(N-1)}
N = population size = 350
n = sample size = 50
2)
N = 50
P = 20/50
First we need to check the conditions of normality that is if n*p and n*(1-p) both are greater than 5 or not
N*p = 20
N*(1-p) = 30
Both the conditions are met so we can use standard normal z table to estimate the interval
Critical value z for 95% confidence level is 1.96 from z table
Margin of error(MOE) = Z*STANDARD ERROR
Standard error =( √P*(1-p)/√n )*√{(N-n)/(N-1)}
N = population size = 350
n = sample size = 50
MOE = 0.12589967352
Confidence interval is given by
(P-MOE, P+MOE)
(0.27410032647, 0.52589967352)
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