Answer:
Cross Sectional Data.
Explanation:
Cross-sectional data:- These are the observations that are made at the same point in the defined time period. These observations could be on a single day or these observations can also be for a week, month, year.
So the case provided to us is the data for a season of NFL that was from 2011-2012 season.So we can say that the data is cross-sectional.
Answer:
The output will be:
B
o
n
d
0
0
7
Explanation:
Given code is of Python language
Let us look at the code line by line
The first line is:
my_list = [7, 0, 0, "d", "n", "o", "B"]
This line will create a list with the given elements.
my_list.reverse()
This line will reverse the sequence of the elements of the list
for thing in my_list:
print (thing)
These lines will simply print the reversed elements of the list on screen.
The output will be:
B
o
n
d
0
0
7
let's say they catch-up to each other after t hour.
so
in t hour distance travelled by Renee
d = speed × time = 50t
in t hour distance travelled by Kim
d = speed × time = 60(t-1) + 0×1 = 60(t-1)
Note: here kim didn't covered any distance in first hour and in rest t-1 hour it travelled all distance
now.as distance travelled by both is same so
60(t-1) = 50t
60t -60 = 50t
adding 60 both sides
60t = 50t+60
subtracting 50t both sides
60t -50t = 50t+60 - 50t
10t = 60
dividing by 10 both sides
t = 60/10 = 6
so in 6 hour both will catch-up to each other
