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Question 2
A manufacturer uses a machine to make metal rods. The length of a metal rod, L cm, is normally distributed with - a mean of 8 cm - a standard deviation of x cm Giv... show full transcript
Step 1
Answer
To find the value of x, we use the standard normal distribution. The z-score corresponding to the lower 2.5% is -1.96 (from z-tables). Thus,
Rearranging gives:
Substituting L = 7.902 into the equation, we have:
Solving this gives:
Thus, it is shown that x = 0.05.
Step 2
Step 3
Answer
To calculate the expected profit for 500 rods, we need to find the income from each category:
Calculating expected profit:
= -0.045 + 0.06 + 0.10 = 0.115
For 500 rods, the expected profit:
Step 4
Answer
Let X be the number of faulty hinges in a random sample of 200. The probability of a hinge being faulty, p = 0.015. Thus, np = 200 x 0.015 = 3 faulty hinges.
Using the binomial distribution, we can calculate:
Using a normal approximation: Mean: μ = np = 3; Variance: σ² = np(1 - p) = 2.955. Standard deviation: σ = 1.721.
To find the probability: Convert to a z-score:
P(X \geq 6) = P\left(Z \geq \frac{6 - 3}{1.721} \right)$$ Calculating this results in a z-score of approximately 1.742, which corresponds to a value of about 0.0842. So, $$P(X < 6) = 1 - 0.0842 = 0.9158.Since 0.9158 < 0.95, the manufacturer is unlikely to achieve its aim.
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