Question

Crunchy Potato Chip Company has two different manufacturing plants. Company officials want to test whether each plant fills the bags with the same number of ounces. A random sample of potato chip bags from plant A had a mean of 24.2 ounces in each bag. A random sample from plant B had a mean of 22.2 ounces. They randomized the data over 100 trials, and the difference of means for each trial is shown in the dot plot below. What can Crunchy Potato Chip Company conclude from this study? a dot plot with the values of negative 2.5, negative 2.0, negative 1.5, negative 1.0, negative 0.5, 0.0, 0.5, 1.0, 1.5, 2.0, and 2.5 with frequencies of 3, 6, 9, 12, 0, 9, 8, 5, 1, 0, and 5 respectively. The difference is not significant because a difference of 2.0 is very likely. The difference is not significant because a difference of 2.0 is not very likely. The difference is significant because a difference of 2.0 is not very likely. The difference is significant because a difference of 2.0 is very likely.

Answer 1

The difference is significant because a difference of 2.0 is not very likely

I just took that quiz and that is the right answer.

Answer 2

The difference is significant because a difference of 2.0 is not very likely.

Explanation:

Crunchy Potato Chip Company has two different manufacturing plants.

A random sample of potato chip bags from plant A had a mean of 24.2 ounces in each bag.

A random sample from plant B had a mean of 22.2 ounces.

Difference in mean is
`24.2-22.2=2`

The dot plot is attached below as per the given information.

So, the best possible answer is -

The difference is significant because a difference of 2.0 is not very likely.