Marginal product of the smoker = 387 - 347 = 40
Explanation:
5 units of capital and 2 workers serves: 347 customers
6 units of capital and 2 workers serves: 387 customers
So, the additional customer served due to the addition 1 more capital is 387 - 347 = 40 customers which is called marginal product.
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Marginal product of the worker = 408 - 347 = 61
Explanation:
5 units of capital and 2 workers serves: 347 customers
5 units of capital and 3 workers serves: 408 customers
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Now marginal cost of a smoker is $8 while marginal cost of a worker is $12
If it hire another worker, 61 customers will be served at $12, ( 61/12 = 5.083 - marginal product per dollar)
while if it buy another smoker, 40 customer will be served at $8, ( 40/8 = 5 - marginal product per dollar)
The most cost- efficient choice for Billy is to hire another worker.
2. The table below represents the production function for Hawg Wild, a small catering company special-...
The table below represents the production function for Hawg
Wild, a small catering company specializing in barbecued
pork. The numbers in the cells represent the number of
customers that can be served with various combinations of labor and
capital.
Is this production function a short-run or long-run production
function? How can you tell?
Suppose that Hawg Wild employs 5 units of capital and 2
workers. How many diners will be served?
Suppose that Hawg Wild currently employs 5 units of...
Hi it's python I imported a data which are so many words in txt
and I arranged and reshaped with alphabetically both rows and
columns
I was successful with these steps but I am stuck with next
step
below is my code and screenshot
import numpy as np
import pandas as pd
data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
df_output.index.name="Start"
df_output.columns.name="End"
df_output
This below screen shot is what I have to find
I have to find each word...
Create a program that will use the attached input file and perform the following operations. Read the file into an appropriate JCF data structure. Look up a (list of) names and numbers matching a last name or the first letters of a last name, ignoring case. Look up a (list of) names and numbers matching a number or the first digits of a number. Add a name and number to the list. Sort the list by first name, last name...