The answer is Biases
The objectivity of evaluating a website relates to its ability to present issues based on different points of view. It is based on whether or not the information provided is presented in a fair and balanced way. For example, is the purpose of a certain website like Coca Cola or Pepsi meant to entertain, sell something, or sway public opinion? Do you think these websites will provide information on the negative effects of drinking carbonated beverages? I do not think so! Thus, these websites have bias. Their job is to sell you their product, not to make you think deep about it. We need to ask ourselves more questions about the websites we visit. Is this website balanced or biased in a way it presents information?
Answer:
miles_gallon = float(input("Enter car's miles/gallon: "))
dollars_gallon = float(input("Enter gas dollars/gallon: "))
print("Gas cost for 20 miles is $", (20 / miles_gallon) * dollars_gallon)
print("Gas cost for 75 miles is $", (75 / miles_gallon) * dollars_gallon)
print("Gas cost for 500 miles is $", (500 / miles_gallon) * dollars_gallon)
Explanation:
*The code is in Python.
Ask the user to enter the car's miles/gallon and gas dollars/gallon
Calculate the gas cost for 20 miles, divide 20 by miles_gallon and multiply the result by dollars_gallon, then print it
Calculate the gas cost for 75 miles, divide 75 by miles_gallon and multiply the result by dollars_gallon, then print it
Calculate the gas cost for 500 miles, divide 500 by miles_gallon and multiply the result by dollars_gallon, then print it
Answer:
stop
Explanation:
If you set the error alert style to Stop, then you are asking Excel to prevent the user from typing in an invalid value.
EGC . medical research science
Answer:
Basically, dealing with the "software crisis" is what we now call software engineering. We just see the field more clearly now.
What this crisis was all about is that in the early days of the modern technological era -- in the 1950s, say -- there was tremendous optimism about the effect that digital computers could have on society, on their ability to literally solve humanity's problems. We just needed to formalize important questions and let our hulking "digital brains" come up with the answers.
Artificial intelligence, for example, had some early successes in easy to formalize domains like chess and these sorts of successes led to lots of people who should have known better making extremely naive predictions about how soon perfect machine translation would transform human interaction and how soon rote and onerous work would be relegated to the dustbin of history by autonomous intelligent machines.
