Zipf’s law expresses the proportion of term-occurrences associated with a term as a function of the term’s frequency-based rank. zipf’s law can be stated as follows: pt = c , rt where pt is the proportion of term occurrences associated with term t, rt is the frequency- based rank associated with term t, and c is a constant (for english, c = 0.1). what proportion of term-occurrences would be removed from the collection if we ignored all occurrences of the five most frequent terms in the collection?

from the figure we get,

the x axis shows   the months and,

the y-axis shows the number of satisfied customer.

each line or each cell in upward direction (y-axis) shows 500.

the appropriate scale for the y - axis is: -

a = 2000 customers

b = 4000 customers

c = 6000 customers

d = 8000 customers

e = 10000 customers

f = 12000 customers

g = 14000 customers

answer: the answer is b. i think hope i got it correct

step-by-step explanation:

i dont know the answer but here's a picture of a dog

25.3

step-by-step explanation:

1st step

add 3+6

=9

multipy 9*3

=37