Here are a few examples:
•] Keep away from windows or vents to prevent it from turning warm.
•] Clean off dust that’s on the computer.
•] Remove all the things that are blocking air to pass to let it cool down.
•] Putting a soft item below the computer is a action that is prohibited as it blocks the airways which causes it to overheat instead put it on a sturdy flat surface to prevent the aforementioned information.
•] To never overcharge your computer too 100% overnight or any time of the day since it overheats and causes battery life to be short, instead put it to charge when you’re conscious while keeping an eye on it, perhaps set a timer/alarm to notify you if you forget.
Answer:
1. The data will not be tallying up - there will great variations and deviance.
2. There will be not enough data points
Explanation:
The management style, though it uses one manager, is not devoid of problems in the system. For example, there will be great difficulty in the collection of accurate data to properly define the system. This presents a great misinformation on the outcome of the data process. This is likely to be caused by the first factor that is the data having a lot of discrepancies. The discrepancy causes the data to be meaningless in terms of the trends displayed. In addition, the lack of enough points posses a challenge to the data collection and processing procedure. The data base management system can be used to concentrate data on a central point of reference.
Answer:
see explaination for program code
Explanation:
scalar_product = 0
li=[]
li2=[]
#reading numbers1.txt and numbers2.txt intoli and li2 respectively
with open('numbers1.txt') as n1, open('numbers2.txt') as n2:
for line1 in n1:
li.append(int(line1))
for line2 in n2:
li2.append(int(line2))
#storing min list size into variable l
a=len(li)
b=len(li2)
if a<b:
l=a
else:
l=b
#calculating scalar product
for i in range(l):
scalar_product=scalar_product+li[i]*li2[i]
print("scalar product is",scalar_product)
I think it’s number 1. Check the answer first.
