Python can be used to implement central of tendencies such as mean, median and mode using the statistic module
The program in Python, where comments are used to explain each line is as follows:
#This imports the statistics module
import statistics
#This defines the function that calculates the mode
def calcMode(myList):
#This prints the mode
print(statistics.multimode(myList))
#This defines the function that calculates the median
def calcMedian(myList):
#This prints the median
print(statistics.median(myList))
#The main method begins here
#This initializes the list
myList = []
#The following iteration gets input for the list
for i in range(10):
myList.append(int(input()))
#This calls the calcMode method
calcMode(myList)
#This calls the calcMedian method
calcMedian(myList)
Read more about similar programs at:
brainly.com/question/25026386
Answer:
Option d) B is 1.33 times faster than A
Given:
Clock time, 

No. of cycles per instructions, 

Solution:
Let I be the no. of instructions for the program.
CPU clock cycle,
= 2.0 I
CPU clock cycle,
= 1.0 I
Now,
CPU time for each can be calculated as:
CPU time, T = 


Thus B is faster than A
Now,


Performance of B is 1.33 times that of A
Sjsjsjsjsjdhshshshshususs
Answer:
import numpy as np
l_int = 55/100
h_int = 65/100
hist = np.histogram( paid_tax_preparers_list, bins=5, range=(l_int, h_int))
Explanation:
Numpy is a Python package used to ease mathematical and statistical research calculations. The package creates data structures called arrays that can be used as vector items, making it easy and fast for calculation to be done.
The np.histogram method is used to create or plot histograms of a list or array against the frequency of the items in the array. The bins and the range attributes are used to adjust the display of the histogram, with bins being the number of bin in the graph and range is the given length of the histogram.
Answer:
True
Explanation:
Rootkits are malicious software that allows an unauthorized user to access a computer and restricted areas of software. Rootkits are difficult to detect on your computer because it may be able to subvert there that is intended to find it. Rootkits are created by Black-hat hackers to attack your computer and steal.
Rootkit tools:
1. Keyloggers
2. antivirus disablers
3. password stealers
4. banking credential stealers
5. bots for DDoS attacks