Answer:
Huffman code is use for encoding the language. The entropy when calculated is 1.5.
Explanation:
Using Huffman Coding scheme to encode:
The huffman coding scheme is described in the attachment.
To find entropy; we use the formula given below:
H = ∑
where H = Entropy and p = probability
p(A) = 50% = 1/2
p(B) = 25% = 1/4
p(C) = 25% = 1/4
Answer:
I think the 3RD
Explanation:
The reason why I think that is because the other once are not written correctly.
Answer:
A
Explanation:
I am not 100% sure but without the shaping data, data can still be merged from multiple sources.
In python:
age = float(input("How old are you? "))
weight = float(input("How much do you weigh? "))
heart_rate = float(input("What's your heart rate? "))
time = float(input("What's the time? "))
print("The calories burned for men is {}, and the calories burned for women is {}.".format(
((age * 0.2017) - (weight * 0.09036) + (heart_rate * 0.6309) - 55.0969) * (time / 4.184),
((age * 0.074) - (weight * 0.05741) + (heart_rate * 0.4472) - 20.4022) * (time / 4.184)))
This is the program.
When you enter 49 155 148 60, the output is:
The calories burned for men is 489.77724665391963, and the calories burned for women is 580.939531548757.
Round to whatever you desire.
