Answer:
from sklearn.datasets import load_iris
import seaborn as sns
import pandas as pd
data = load_iris()
final_data = data.data[:]
final_data = pd.DataFrame(final_data)
final_data.columns = ['SepalLengthCm', 'SepalWidthCm', 'PetalLengthCm', 'PetalWidthCm']
species = data.target[:]
final_data['Species'] = species
sns.pairplot(final_data, hue='Species')
Explanation:
Answer:
<u>a. The scientists must be careful of how many variables they include in their simulation so they do not cause further harm to the frogs.</u>
Explanation:
It is not statistically accurate to assume that the number of variables included in the simulation would cause further harm to the frogs because we need to <em>remember </em>that a simulation is simply a computerized imitation of a real situation, which is usually not totally alike with a real process.
So in no way from a statistical standpoint, does the scientists' decision on the number of variables causes direct harm to the frogs.
Answer:
b. 1/8"
Explanation:
In This scenario this installation does not require any penetration protection as long as the space between the electrical box and the wall membrane does not exceed 1/8 of an inch. This is mainly a safety precaution to prevent accident's such as an electrical fire or electrocution as well as meeting the specs for the rest of the house to be built perfectly without modifications.
Not sure bro. What’s the question reslly about?
