The utility company wishes to estimate the percentage of people in the U.S. who use electricity to heat their homes. Past data indicate that 154 out of 700 customers surveyed used electricity to heat their homes. If the company wishes to be 98% confident to within 3%, how large a sample would be needed?
a. 516
b. 733
c. 854
d. 1036
e. 1266
f. 1503
g. 2066
h. none of these
Math QUestion?
The probability that k people in a sample of n people use electricity can be calculated using a binomial random variable..
P(K = k) = N-Choose-K p^k (1-p)^(n-k)
where p = 154/700 = .22
N-Choose-K = n! / [ (n-k)! * k!]
Let the lower limit be L1..
L1 = floor (.97 *.22 * n)
Let the upper limit be L2..
L2 = floor (1.03*.22*n)
Find the smallest n, such that
∑Pk ≥ .98
where the lower and upper limits to the summation are L1 and L2, respectively
When n=516, ∑Pk = .250
When n=733, ∑Pk = .344
When n=854, ∑Pk= .350
When n=1036, ∑Pk= .374
When n=1266, ∑Pk= .413
When n=1503, ∑Pk= .467
When n=2066, ∑Pk= .543
I calculated these in MathCad using this code:
N := 2066
L1 := floor(N*.22*.97)
L2 :=floor(N*.22*1.03)
pbinom(L2,N,.22) - pbinom(L1,N,.22) = .543
none of the answers came anywhere near .98.. however, when N=21091 =%26gt; .98 and when N=21090 =%26gt;.979
therefore N=21091
h) NONE OF THE ABOVE.
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