Answer:
chunking and short-term is the correct answer of this question.
Explanation:
chunking is a strategy to enhance a short-term memory.
Chunking is an method used to separate larger numbers that can not be psychologically separated.Chunking is the grouping of words in one sentence into short, important phrases. A chunk is the material segment that is used in many graphical formats, such as PNG etc.
Short-term memory is the knowledge a person is considering or is conscious of. This is also called healthy or main memory.
Answer:
Explanation:
The following is written in Python and uses exception handling to do exactly as requested. It then goes adding all of the integer values to an array called num_list and finally adding them all together when the function ends.
def in_values():
num_list = []
while True:
try:
num = input("Input non-zero floating point: ")
num = int(num)
if num == 0:
break
else:
num_list.append(num)
except ValueError:
print("No valid integer! Please try again ...")
try:
num = input("Input non-zero floating point: ")
num = int(num)
break
except ValueError:
break
sum = 0
for number in num_list:
sum += number
return sum
Options A and C can get you confused. We can choose option A if our argument is based entirely on digital images. The correct answer, however, is C: Number of pixels you see on your computer monitor.
Resolution describes the clarity and sharpness of a picture that can be measured by the number of pixels contained on a display monitor. It can be expressed by the number of horizontal (width) and vertical pixels (height) represented by a screen. The clarity and sharpness are always dependent on the resolution and size of the monitor.
C, a video solution that is adaptable to the users storage space
I would probably say B even though the other methods might work as well
