<span>C. 3
Due to the different speeds of P and S waves, a single seismometers can determine the distance to an earthquake. So, for a single station, the localization is any point on a circle around the station. With 2 stations, you'll have two circles that intersect at two points. The 3rd station is needed in order to determine which of the 2 points is the actual earthquake.</span>
Well I would think all of them in some way. For the first one, students need to collect data (whether it’s mathematical, scientific, etc.) to answer a question. For the second one, they may need to know how much money is in there bank account or they may need to calculate a sale to order the item. For the third one, they may need statistical data to support a position. For the last one, a student could use technological data to be able to solve their problem sorting documents.
An example of linear motion is an athlete running 100m along a straight track. Linear motion is the most basic of all motion. ... Neglecting the rotation and other motions of the Earth, an example of linear motion is the ball thrown straight up and falling back straight down.
Answer:
- import statistics
- def st_dev(file_name):
- with open(file_name) as file:
- data = file.readlines()
- numList = []
- for x in data:
- numList.append(int(x))
-
- return statistics.pstdev(numList)
- print(st_dev("text1.txt"))
Explanation:
The solution code is written using Python.
To ease the calculation task, we can import Python statistics module to use the pstdev method to calculate the population standard deviation of a list of numbers (Line 1).
Next, create a st_dev function that take single argument file_name (Line 3). In the function, it will open the input file and read the data line by line (Line 4-5). Create a for loop to traverse through each line of the data which is an integer and append it to numList (Line 7-8). We can pass the numList to pstdev method (Line 10) and return the resulting standard deviation value as output.
We test the function by passing a file which hold a list of integer values in each line (Line 12).
8
9
12
11
21
15
16
10
7
13
And the output we shall get is 4.019950248448356
Answer:
RANK.AVG
Explanation:
Required
Arrange data in descending order based on average
The feature to do this is to use the RANK.AVG() function.
By default, the function will return the ranks of the selected data in descending order (i.e. from highest to lowest); though, the sort order can be changed to ascending order.
The syntax is:
=RANK.AVG (number, ref, [order])
Where
number
The number to use as rank
ref
The cell range
order
0 represents descending order while 1 represents ascending order