Seventy million pounds of trout are grown in the U.S. every year. Farm-raised trout contain an average of grams of fat per pound, with a standard deviation of grams of fat per pound. A random sample of farm-raised trout is selected. The mean fat content for the sample is grams per pound. Find the probability of observing a sample mean of grams of fat per pound or less in a random sample of farm-raised trout.

Carry your intermediate computations to at least four decimal places. Round your answer to at least three decimal places.

How can we do any calculation, if no specific data is given?

To find the probability of observing a sample mean of grams of fat per pound or less in a random sample of farm-raised trout, we can use the standard deviation of the population and the sample mean.

First, let's calculate the standard error of the mean. The standard error (SE) represents the standard deviation of the sampling distribution.

The formula to calculate the standard error is:

SE = standard deviation / sqrt(n)

Where:
- standard deviation is the standard deviation of the population (given in the question)
- n is the sample size (not provided in the question)

Since the sample size (n) is not provided in the question, we need additional information in order to continue.