Probability that the weight of the carts exceeds 255 tons

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Homework Help Overview

The discussion revolves around a probability problem involving the weights of carts filled with iron, where the actual weight deviates from a nominal value. The subject area includes probability theory and normal distribution, specifically focusing on the calculation of probabilities related to the sum of independent random variables.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the distribution of weights for multiple carts and discuss the correct application of normal distribution properties. There are attempts to calculate probabilities using z-scores and the cumulative distribution function, with some questioning the initial setup and calculations.

Discussion Status

Participants are actively engaging with the problem, with some offering alternative formulations and corrections to the original poster's approach. There is recognition of the need to correctly apply the properties of normal distributions when summing independent variables, indicating a productive exploration of the topic.

Contextual Notes

There are indications of confusion regarding the application of standard deviation and the correct formulation of the normal distribution for the sum of the carts. The original poster's calculations and assumptions are being critically examined, suggesting a need for clarification on these points.

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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