μ = 50 σ = 5 \mu=50 \\
\sigma=5 μ = 50 σ = 5
a. n=4
P ( 49 < x ˉ < 52 ) = P ( x ˉ < 52 ) − P ( x ˉ < 49 ) = P ( Z < 52 − 50 5 / 4 ) − P ( Z < 49 − 50 5 / 4 ) = P ( Z < 0.8 ) − P ( Z < − 0.4 ) = 0.7881 − 0.3445 = 0.4436 P(49<\bar{x}<52) = P(\bar{x}<52) -P(\bar{x}<49) \\
=P(Z< \frac{52-50}{5 / \sqrt{4}}) -P(Z< \frac{49-50}{5 / \sqrt{4}}) \\
=P(Z< 0.8) -P(Z< -0.4) \\
= 0.7881 - 0.3445 \\
=0.4436 P ( 49 < x ˉ < 52 ) = P ( x ˉ < 52 ) − P ( x ˉ < 49 ) = P ( Z < 5/ 4 52 − 50 ) − P ( Z < 5/ 4 49 − 50 ) = P ( Z < 0.8 ) − P ( Z < − 0.4 ) = 0.7881 − 0.3445 = 0.4436
b. n=16
P ( 49 < x ˉ < 52 ) = P ( x ˉ < 52 ) − P ( x ˉ < 49 ) = P ( Z < 52 − 50 5 / 16 ) − P ( Z < 49 − 50 5 / 16 ) = P ( Z < 1.6 ) − P ( Z < − 0.8 ) = 0.9452 − 0.2118 = 0.7334 P(49<\bar{x}<52) = P(\bar{x}<52) -P(\bar{x}<49) \\
=P(Z< \frac{52-50}{5 / \sqrt{16}}) -P(Z< \frac{49-50}{5 / \sqrt{16}}) \\
=P(Z< 1.6) -P(Z< -0.8) \\
= 0.9452 - 0.2118 \\
=0.7334 P ( 49 < x ˉ < 52 ) = P ( x ˉ < 52 ) − P ( x ˉ < 49 ) = P ( Z < 5/ 16 52 − 50 ) − P ( Z < 5/ 16 49 − 50 ) = P ( Z < 1.6 ) − P ( Z < − 0.8 ) = 0.9452 − 0.2118 = 0.7334
c. n=25
P ( 49 < x ˉ < 52 ) = P ( x ˉ < 52 ) − P ( x ˉ < 49 ) = P ( Z < 52 − 50 5 / 25 ) − P ( Z < 49 − 50 5 / 25 ) = P ( Z < 2 ) − P ( Z < − 1 ) = 0.9772 − 0.1586 = 0.8186 P(49<\bar{x}<52) = P(\bar{x}<52) -P(\bar{x}<49) \\
=P(Z< \frac{52-50}{5 / \sqrt{25}}) -P(Z< \frac{49-50}{5 / \sqrt{25}}) \\
=P(Z< 2) -P(Z< -1) \\
= 0.9772 - 0.1586 \\
=0.8186 P ( 49 < x ˉ < 52 ) = P ( x ˉ < 52 ) − P ( x ˉ < 49 ) = P ( Z < 5/ 25 52 − 50 ) − P ( Z < 5/ 25 49 − 50 ) = P ( Z < 2 ) − P ( Z < − 1 ) = 0.9772 − 0.1586 = 0.8186
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