Probability that the weight of the carts exceeds 255 tons

AI Thread Summary
The discussion revolves around calculating the probability that the total weight of 25 iron carts exceeds 255 tons, given a nominal weight of 10 tons per cart and a standard deviation of 0.5 tons. The initial calculation incorrectly used the median value instead of the correct addition of normal distributions. The correct distribution for the total weight of the carts is N(250, 6.25), leading to a standard deviation of 2.5. The probability can be determined using the z-score for the value of 255 tons, which should be calculated as P(C_T > 255) = 1 - Φ(z). The conclusion emphasizes the importance of using the correct variance in probability calculations for independent random trials.
Addez123
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Summary:: When filling up carts with iron the real weight deviates from the nominal value 10 ton. The standard deviation is .5.
What's the probability that 25 carts exceed 255 ton?

The arithmetic median value is:
$$X \in N(25 * 10, 0.5 / \sqrt{25}) = N(250, .1)$$
$$P(x > 255) = 1 - P(x < 255) $$
$$1 - Φ( \frac {255 - 250} {.1} ) = 1 - Φ(50) \approx 0$$

The book says answer is 1 - Φ(2)
but i see no way of that being true.
 
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Using the notation ##X \sim N(\mu, \sigma^2)##, each cart is distributed like$$C \sim N(10, \frac{1}{4})$$Then the sum of 25 carts is distributed like$$C_T = C_1 + C_2 + \dots + C_{25} \sim N(250, \frac{25}{4})$$Now you just require ##P(C_T > 255)## in terms of the function ##\Phi##. That is just a matter of working out the ##z##-score of a value ##255## using the correct variance.
 
When you have multiple independent random trials, the total grows like ##N## and the SD grows like ##\sqrt N##. It is the percent error (CV) that diminishes like ##\sqrt N##
So ##\sigma =2.5##
 
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I know what I did wrong.
My formula is to calculate the median value (even though the formula was incorrect aswell), when I should be using addition of normal distribution.
$$N(25 * 10, .5 * \sqrt{25})$$
 
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