Let D be the random variable denoting the diameter of this shop's bolts, so that D is normally distributed with µ = 5.75 and σ = 0.07. The top 6% and bottom 6% of bolts have diameters d₁ and d₂ such that
P(d₁ < D < d₂) = P(D < d₂) - P(D < d₁) = 0.94 - 0.06
i.e. d₂ is the 94th percentile and d₁ is the 6th percentile, for which
P(D < d₂) = 0.94
P(D < d₁) = 0.06
Convert D to a random variable Z following the standard normal distribution using
Z = (D - µ) / σ
Then
P(D < d₂) = P((D - 5.75) / 0.07 < (d₂ - 5.75) / 0.07)
0.94 = P(Z < (d₂ - 5.75) / 0.07)
→ (d₂ - 5.75) / 0.07 ≈ 1.55477
→ d₂ ≈ 5.86
P(D < d₁) = P((D - 5.75) / 0.07 < (d₁ - 5.75) / 0.07)
0.06 = P(Z < (d₁ - 5.75) / 0.07)
→ (d₁ - 5.75) / 0.07 ≈ -1.55477
→ d₁ ≈ 5.64
So bolts with a diameter between 5.64 mm and 5.86 mm are acceptable.