Respuesta :
To find the z-score for a weight of 196 oz., use
[tex]z=\frac{x-\mu}{\sigma}=\frac{196-180}{8}=\frac{16}{8}=2[/tex]
A table for the cumulative distribution function for the normal distribution (see picture) gives the area 0.9772 BELOW the z-score z = 2. Carl is wondering about the percentage of boxes with weights ABOVE z = 2. The total area under the normal curve is 1, so subtract .9772 from 1.0000.
1.0000 - .9772 = 0.0228, so about 2.3% of the boxes will weigh more than 196 oz.
[tex]z=\frac{x-\mu}{\sigma}=\frac{196-180}{8}=\frac{16}{8}=2[/tex]
A table for the cumulative distribution function for the normal distribution (see picture) gives the area 0.9772 BELOW the z-score z = 2. Carl is wondering about the percentage of boxes with weights ABOVE z = 2. The total area under the normal curve is 1, so subtract .9772 from 1.0000.
1.0000 - .9772 = 0.0228, so about 2.3% of the boxes will weigh more than 196 oz.

Answer: i got this correct on test
2
0.4773
0.477
.023 or 2.3%
Explanation:
(196-180)/8=2
look at 2.0 on the chart to get the 0.4773
then subtract .50 from .477 to get 0.023
move decimal over 2 to get 2.3%
:)