Math  /  Data & Statistics

Question5.3.7. Five independent samples, each of size nn, are to be drawn from a normal distribution where σ\sigma is known. For each sample, the interval (yˉ0.96dn,yˉ+1.06dn)\left(\bar{y}-0.96 \cdot \frac{d}{\sqrt{n}}, \bar{y}+1.06 \cdot \frac{d}{\sqrt{n}}\right) will be constructed. What is the probability that at least four of the intervals will contain the unknown μ\mu ?

Studdy Solution
Calculate P(X=4)P(X = 4):
P(X=4)=5×(0.6869)4×(0.3131)0.3717P(X = 4) = 5 \times (0.6869)^4 \times (0.3131) \approx 0.3717
Calculate P(X=5)P(X = 5):
P(X=5)=1×(0.6869)50.1610P(X = 5) = 1 \times (0.6869)^5 \approx 0.1610
Thus, the probability that at least four intervals contain μ\mu is:
P(X4)=0.3717+0.1610=0.5327P(X \geq 4) = 0.3717 + 0.1610 = 0.5327
The probability that at least four of the intervals will contain the unknown μ\mu is:
0.5327\boxed{0.5327}

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