M = 71.5 σ = 12 n = 16 M=71.5 \\
\sigma=12 \\
n=16 M = 71.5 σ = 12 n = 16
Two-sided confidence interval:
C I = ( M − Z c × σ n , M + Z c × σ n ) CI = (M - \frac{Z_c \times \sigma}{\sqrt{n}}, M + \frac{Z_c \times \sigma}{\sqrt{n}}) C I = ( M − n Z c × σ , M + n Z c × σ )
For 90 % confidence interval
Z c = 1.645 C I = ( 71.5 − 1.645 × 12 16 , 71.5 + 1.645 × 12 16 ) = ( 71.5 − 4.935 , 71.5 + 4.935 ) = ( 66.565 , 76.435 ) Z_c=1.645 \\
CI = (71.5 - \frac{1.645 \times 12}{\sqrt{16}}, 71.5 + \frac{1.645 \times 12}{\sqrt{16}}) \\
= (71.5 -4.935, 71.5+4.935) \\
= (66.565, 76.435) Z c = 1.645 C I = ( 71.5 − 16 1.645 × 12 , 71.5 + 16 1.645 × 12 ) = ( 71.5 − 4.935 , 71.5 + 4.935 ) = ( 66.565 , 76.435 )
For 95 % confidence interval
Z c = 1.96 C I = ( 71.5 − 1.96 × 12 16 , 71.5 + 1.96 × 12 16 ) = ( 71.5 − 5.88 , 71.5 + 5.88 ) = ( 65.62 , 77.38 ) Z_c= 1.96 \\
CI = (71.5 - \frac{1.96 \times 12}{\sqrt{16}}, 71.5 + \frac{1.96 \times 12}{\sqrt{16}}) \\
= (71.5 -5.88, 71.5+5.88) \\
= (65.62, 77.38) Z c = 1.96 C I = ( 71.5 − 16 1.96 × 12 , 71.5 + 16 1.96 × 12 ) = ( 71.5 − 5.88 , 71.5 + 5.88 ) = ( 65.62 , 77.38 )
For 99 % confidence interval
Z c = 2.576 C I = ( 71.5 − 2.576 × 12 16 , 71.5 + 2.576 × 12 16 ) = ( 71.5 − 7.728 , 71.5 + 7.728 ) = ( 63.772 , 79.228 ) Z_c= 2.576 \\
CI = (71.5 - \frac{2.576 \times 12}{\sqrt{16}}, 71.5 + \frac{2.576 \times 12}{\sqrt{16}}) \\
= (71.5 -7.728, 71.5+7.728) \\
= (63.772, 79.228) Z c = 2.576 C I = ( 71.5 − 16 2.576 × 12 , 71.5 + 16 2.576 × 12 ) = ( 71.5 − 7.728 , 71.5 + 7.728 ) = ( 63.772 , 79.228 )
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