
AI Final Quiz

Quiz
•
Computers
•
University
•
Medium
Daryl Arbis
Used 3+ times
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
is the average value.
average
median
mode
mean
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
is the value in the middle
machine learning
mid val
median
mean
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
is the value that appears most number of times
mode
median
mean
loop
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
what is the right syntax for getting the median?
import scipy
value = [99,86,87,88,86,103,87,94,78,77,85,86]
x = scipy.median(value)
print(x)
from numpy
value = [99,86,87,88,86,103,87,94,78,77,85,86]
x = numpy.median(value)
print(x)
import numpy
value = [99,86,87,88,86,103,87,94,78,77,85,86]
x = numpy.median(value)
print(x)
import sklearn
value = [99,86,87,88,86,103,87,94,78,77,85,86]
x = numpy.median(value)
print(x)
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
what is the right syntax for getting the mean?
import numpy
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x=numpy.mean(speed)
print(x)
import scikit
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x=scikit.mean(speed)
print(x)
import scipy
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x=scipy.mean(speed)
print(x)
from numpy
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x=numpy.mean(speed)
print(x)
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
what is the right syntax in getting the mode?
import numpy
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x=numpy.mode(speed)
print(x)
import scipy
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x=scipy.mode(speed)
print(x)
from scipy import stats
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x = stats.mode(speed)
print(x)
from scipy
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x = stats.mode(speed)
print(x)
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
how do you calculate the mean?
by adding all values then divide it to the number of numbers in the data set
by adding all values then divide it by 13 in the data set
by subtracting all values then get the square root the data set
by finding the middle number then divide it by 2
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