Question

A bottler of drinking water fills plastic bottles with a mean volume of 993 milliliters (mL) and standard deviation of 7 mL. The fill volumes are normally distributed. What proportion of bottles have volumes between 988 mL and 991 mL?

Answer 1

Given data:

Mean: 993mL

Standard deviation: 7mL

Find p(988

1. Find the z-value corresponding to (x>988), use the next formula:

`\begin{gathered} z=(x-\mu)/(\sigma) \\ \\ z=(988-993)/(7)=-0.71 \end{gathered}`

2. Find the z-value corresponding to (x<991):

`z=(991-993)/(7)=-0.29`

3. Use a z score table to find the corresponding values for the z-scores above:

For z=-0.71: 0.2389

For x=-0.29: 0.3859

4. Subtract the lower limit value (0.2389) from the upper limit value (0.3859):

`0.3859-0.2389=0.147`

5. Multiply by 100 to get the percentage:

`0.147*100=14.7`

Then, 14.7% of the bottles have volumes between 988mL and 991mL