Respuesta :
Answer: a) 0.23. b) 0.1716 to 0.2884
Step-by-step explanation:
A.)
Point estimate is just the proportion of 46/200 = 23/100 = 0.23
B.)
95 % percent confidence interval is from 2.5 % to 97.5 % leaving ninety five percent in the middle
P(z<Z) = 0.975
Z = 1.96
mean = 0.23
standard deviation of a proportion = sqrt ( p*(1-p) ) = sqrt (0.23*(1- 0.23)) = 0.420832508
C1 (lower) = mean - Z_crit*standard deviation/ sqrt(N)
C1 (Lower) = 0.23 - 1.96*0.420832508/sqrt(200) = 0.17167559
C2 (High) = 0.23 +1.96*0.420832508/sqrt(200) = 0.28832441
Furthermore,
If the exact values are from .0.17167559 to 0.28832441 , then from 0.1717 to 0.2883 includes slightly less than 95 %
while 0.1716 to 0.2884 includes slightly more than 95%
The sample proportion is 0.23 and the confidence interval is (0.172, 0.288).
How to calculate the confidence interval?
From the information given, the sample proportion will be:
p = x/n = 46/200 = 0.23
For 95% confidence interval, the critical value of z is 1.96. Therefore, the confidence interval for the population proportion will be:
= 0.23 + 1.96[✓(0.23(1 - 0.23)] / ✓200
= 0.288
Also, 0.23 - 1.96[✓(0.23(1 - 0.23)] / ✓200
= 0.058
Therefore, the confidence interval is (0.172, 0.288).
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