把“支持 A”记为 1,否则记为 0,则样本均值 p ^ \hat p p ^ 的方差近似为
Var ( p ^ ) = p ( 1 − p ) N . \operatorname{Var}(\hat p)=\frac{p(1-p)}{N}. Var ( p ^ ) = N p ( 1 − p ) .
用 p ^ = 0.60 , N = 1000 \hat p=0.60, N=1000 p ^ = 0.60 , N = 1000 代入得到标准误
S E ( p ^ ) = 0.6 ⋅ 0.4 1000 ≈ 0.0155. \mathrm{SE}(\hat p)=\sqrt{\frac{0.6\cdot 0.4}{1000}}\approx 0.0155. SE ( p ^ ) = 1000 0.6 ⋅ 0.4 ≈ 0.0155.
95% 置信区间(正态近似)为
p ^ ± 1.96 S E ≈ 0.60 ± 0.030. \hat p\pm 1.96\,\mathrm{SE}\approx 0.60\pm 0.030. p ^ ± 1.96 SE ≈ 0.60 ± 0.030.
因此误差范围约为
± 3 % . \boxed{\pm 3\%}. ± 3% .
英文解析
Var ( p ^ ) = p ( 1 − p ) N . \operatorname{Var}(\hat p)=\frac{p(1-p)}{N}. Var ( p ^ ) = N p ( 1 − p ) .
S E ( p ^ ) = 0.6 ⋅ 0.4 1000 ≈ 0.0155. \mathrm{SE}(\hat p)=\sqrt{\frac{0.6\cdot 0.4}{1000}}\approx 0.0155. SE ( p ^ ) = 1000 0.6 ⋅ 0.4 ≈ 0.0155.
p ^ ± 1.96 S E ≈ 0.60 ± 0.030. \hat p\pm 1.96\,\mathrm{SE}\approx 0.60\pm 0.030. p ^ ± 1.96 SE ≈ 0.60 ± 0.030.
± 3 % . \boxed{\pm 3\%}. ± 3% .