MHB What is the probability of exceeding maximum weight with a normal distribution?

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SUMMARY

The weight of goats at a farm follows a normal distribution with a mean of 60 kg and a standard deviation of 10 kg. When selecting 10 goats, the total weight can be modeled as a normal distribution with a mean of 600 kg and a standard deviation of 31.62 kg. To determine the probability that the total weight exceeds the truck's capacity of 650 kg, one must calculate the cumulative distribution function (CDF) for the normal distribution. This involves using the properties of normally distributed variables and potentially a Z-table for precise probability values.

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secretx
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  1. The weight of goats at a farm is normally distributed with a mean of 60 kg and a standard deviation of 10 kg. A truck used to transport goats can only accommodate not more than 650 kg. If 10 goats are selected at random from the population, what is the probability that the total weight exceeds the maximum weight?
 
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Hi secretx

Since you haven't shared any work, we don't know where you're stuck. If you need help with an idea to get you started, note that the random variable that represents the sum of the weights is also a normal distribution because the sum of independent normally distributed variables is also normally distributed (see Wikipedia - Sum of Normally Distributed Variables).
 
Do you know what a "normal distribution" is? Do you have a table of the normal distribution available?
 

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