Answer:
is all knowing the exact data to use
Explanation:
in such occasion you can make it easy for your self and other customers
Yes, this is true. Close substitutes for a good will make the demand for that good more elastic, since consumers can easily switch to a different good if the price of the original good rises.
<h3><u>The Impact of Close Substitutes on Price Elasticity of Demand</u></h3>
The demand for a good with many close substitutes is likely to be relatively elastic. This is because when the price of the good increases, consumers can easily switch to one of the close substitutes, which limits the effect of the price increase on demand.
For instance:
- If the price of a particular brand of cereal rises, consumers may decide to purchase a different brand of cereal as an alternative, rather than paying the higher price.
This ability to switch to a close substitute reduces the impact of the price increase on demand.
Elasticity is an important concept in economics and can be used to understand how prices and demand interact.
- When demand is elastic, an increase in price will cause a large decrease in demand. This is because consumers have the ability to switch to close substitutes, which limits the effect of the price increase.
- On the other hand, when demand is inelastic, an increase in price will cause only a small decrease in demand. In this case, consumers do not have close substitutes available, so they are more likely to continue purchasing the good despite the price increase.
Learn more about <u>Elasticity </u><u>of </u><u>Demand</u> at: brainly.com/question/5078326
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Answer:
import pandas as pd
# loads the text file as a pandas dataframe
student_file = pd.read_fwf("std_info.txt")
# opens a new text file if the student_avg does not exist
# the file closes automatically at the end of the with statement
with open('student_avg.txt', 'w+') as file:
for row in student_file.iterrows():
file.write(row)
ee = student_file[student_file['major'=='EE']]
cpe = student_file[student_file['major'=='CPE']]
file.write(f'EE average = {ee['EE'].mean()}')
file.write(f'CPE average = {ee['CPE'].mean()}')
file.write(f'Total average = {student_file['EE'].mean()}')
Explanation:
The python program gets the text file as a fixed-width file and loads the file as a pandas dataframe. The dataframe is used to get the total average GPA the student GPA and the average GPA of students in various departments. The results are saved in a new file called 'student_avg.txt'.
Answer:
2.342m
Explanation:
Given
Time = 0.5 s
Height of Window = 2m
Because the pot was in view for a total of 0.5 seconds, we can assume that it took the cat 0.25 seconds to go from the bottom of the window to the top
Using this equation of motion
S = ut - ½gt²
Where s = 2
u = initial velocity = ?
t = 0.25
g = 9.8
So, we have.
2 = u * 0.25 - ½ * 9.8 * 0.25²
2 = 0.25u - 0.30625
2 + 0.30625 = 0.25u
2.30625 = 0.25u
u = 2.30625/0.25
u = 9.225 m/s ------------ the speed at the bottom of the pot
Using
v² = u² + 2gs to calculate the height above the window
Where v = final velocity = 0
u = 9.225
g = 9.8
S = height above the window
So, we have
0² = 9.225² - 2 * 9.8 * s
0 = 85.100625 - 19.6s
-85.100625 = -19.6s
S = -85.100625/19.6
S = 4.342
If 4.342m is the height above the window and the window is 2m high
Then 4.342 - 2 is the distance above the window
4.342 - 2 = 2.342m
Answer:
They basically use a technology called spider or web crawling, it basically just comb through the internet to find websites or webpages.
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