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.

a. 12.5 kg

step-by-step explanation:

f = ma

so

m = f/a = (2500 n)/(200 m/s²) = 12.5 kg

1 n = 1 kg·m/s²

5x + 5

step-by-step explanation:

you should always add the diagrams and graphs we cannot see. this particular question is kind of borderline because we can make a graph for you.

(f + g)x = -x^2 +3x + 5 + x^2 + 2x

(f + g)x = 5x + 5

the graph of z = 5x + 5 is shown below. always use desmos when in doubt.