In: Statistics and Probability
1. Assume that a sample is used to estimate a population
proportion p. Find the margin of error E that corresponds to the
given statistics and confidence level. Round the margin of error to
four decimal places.
95% confidence; n = 391, x = 42
2. Assume that a sample is used to estimate a population
proportion p. Find the margin of error E that corresponds to the
given statistics and confidence level. Round the margin of error to
four decimal places.
90% confidence; n = 383, x = 184
Solution :
1)
Given that,
n = 391
x = 42
= x / n = 41/391 = 0.1074
1 - = 1 - 0.1074 = 0.8926
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2 = Z0.025 = 1.96
Margin of error = E = Z / 2 * [ * (1 - ) / n]
= 1.96 * [(0.1074 * 0.8926) / 391]
E = 0.0157
A 95% confidence interval for population proportion p is ,
- E < P < + E
0.1074 - 0.0157 < p < 0.1074 + 0.0157
0.0917 < p < 0.1231
(0.0917, 0.1231)
2)
Solution :
Given that,
n = 383
x = 184
= x / n = 184/383 = 0.4804
1 - = 1 - 0.4804 = 0.5196
At 90% confidence level the z is ,
= 1 - 90% = 1 - 0.90 = 0.10
/ 2 = 0.10 / 2 = 0.05
Z/2 = Z0.05 = 1.645
Margin of error = E = Z / 2 * [ * (1 - ) / n]
= 1.645 * [(0.4804 * 0.5196) / 383)
E = 0.0420
A 90% confidence interval for population proportion p is ,
- E < P < + E
0.4804 - 0.0420 < p < 0.4804 + 0.0420
0.4384 < p < 0.5224
(0.4384, 0.5224)