We have independent identically distributed (i.i.d.) random variables X1, X2, X3 each following a normal distribution N(2, 4). Our goal is to find 𝛽 such that:
𝑃(2𝐗1−3𝐗2+6𝐗3>17)=1−Φ(𝛽)
Step 1: Determine the distribution of 2𝐗1−3𝐗2+6𝐗3.
Since each 𝐗i follows 𝑁(2,4), the linear combination 2𝐗1−3𝐗2+6𝐗3 is also normally distributed. The mean is calculated as:
Mean: 2(2) − 3(2) + 6(2) = 4 − 6 + 12 = 10
The variances add, so:
Variance: (22)(4) + (−3)2(4) + (62)(4) = 16 + 36 + 144 = 196
Thus, the standard deviation is √196 = 14. Therefore, 2𝐗1−3𝐗2+6𝐗3 ~ 𝑁(10, 196).
Step 2: Standardize the inequality.
The inequality 𝑃(2𝐗1−3𝐗2+6𝐗3>17) can be standardized using the normal distribution:
𝑃(𝑍 > (17−10)/14) where 𝑍 follows 𝑁(0,1)
So, 𝑃(𝑍 > 0.5) = 1−Φ(0.5)
Step 3: Conclusion.
Comparing, 𝛽 = 0.5. Ensure this meets the range provided. The required 𝛽 value of 0.5 is within the expected range: [0.5, 0.5].
Therefore, 𝛽 = 0.5.