To determine the height that corresponds to the tallest 1% of cherry trees in this orchard, we need to find the 99th percentile of the normal distribution, since the tallest 1% will start from that percentile.
Given:
- Mean (\( \mu \)) = 114 inches
- Standard Deviation (\( \sigma \)) = 14 inches
We'll use the TI-84 Plus calculator to find the height corresponding to the 99th percentile:
- Turn on your TI-84 Plus calculator.
- Access the distribution menu: Press
2nd
, thenVARS
to chooseDISTR
. - Select the inverse normal function: Choose
invNorm(
, which is usually option3
. - Input the parameters:
- Enter
0.99
(representing the 99th percentile). - Enter the mean (
114
). - Enter the standard deviation (
14
).
- Enter
The full command should look like this:
invNorm(0.99, 114, 14)
- Press
ENTER
to calculate.
The output will give you the height corresponding to the tallest 1% of trees.
After performing the calculation, you would find:
- Height ≈ 144.13 inches (rounded to two decimal places).
Therefore, the agricultural scientist needs to study all the trees above approximately 144.13 inches.