A manufacturing process produces bags of tortilla chips. The bag weights follow a normal distribution with a mean of 16 oz and a standard deviation of 0.8 oz. How many bags should be randomly selected so that the standard error is equal to 0.1 oz

64 bags should be selected.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean and standard deviation , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

How many bags should be randomly selected so that the standard error is equal to 0.1 oz

This is n when s = 0.1. So

64 bags should be selected.

y-y1=4(x-x1)

step-by-step explanation:

this is point-slope form since you only have 4 as the slope it goes in place of m

hope this : )

a 360 degree rotation

step-by-step explanation: