Answer:
import random
decisions = int(input("How many decisions: "))
for i in range(decisions):
number = random.randint(0, 1)
if number == 0:
print("heads")
else:
print("tails")
Explanation:
*The code is in Python.
import the random to be able to generate random numbers
Ask the user to enter the number of decisions
Create a for loop that iterates number of decisions times. For each round; generate a number between 0 and 1 using the randint() method. Check the number. If it is equal to 0, print "heads". Otherwise, print "tails"
Answer:
The answer to this question is given below in the explanation section.
Explanation:
The correct answer to this question is an online decision support system. Because the decision support systems process the data, evaluate and predict the decision, and helps the decision-makers, and offer real-time information immediately in making the decision in an organization. So the correct answer to this question is the decision supports system.
Why other options are not correct
Because the transaction processing system can only process the transaction and have not the capability to make the decision for the future. Office support processing system support office work, while the batch processing system process the task into the batch without user involvement. however, online executive processing does not make decisions and offer timely information to decision-makers in an organization.
Answer:
The answer is "A blank line".
Explanation:
The blank line initiates the interpreter to start examining the line of statements whenever the Python shell as well as the code block are used.
- It is also known as the line that has nothing but spaces or lines without texts or a line.
- It prints an empty sheet, which leaves its performance with such a blank line.
Answer:
Explanation:
temporal locality can be defined as: when a particular memory is referenced or accessed several times within a specific period of time. In the question, i think the variable that exhibit temporal locality are I, J and 0(all the variable). This is because the variable J and 0 are accessed several times within the loop. I would not have been part of it, but in the A[I][J]=B[I][0]+A[J][I], the variable "I" is also accessed in the addition. this is why it is part of the temporal locality.