When K = 3
MP of 2nd worker = 250 - 196 = 54
MP of 3rd worker = 308 - 250 = 58
MP of 4th worker = 359 - 308 = 51
MP of 5th worker = 400 - 359 = 41
MP of 6th worker = 437 - 400 = 37
So diminishing returns starts with 4th worker
third option is correct answer
Molly runs a coffee shop in Lansing. The table represents the production function for the coffee...
Molly runs a coffee shop in Lansing. The table represents the production function for the coffee shop. The number in cells represent the cups of coffee that can be made with various combinations of labor and capital. Suppose Molly has 3 coffee makers (K=3) in her coffee shop. She experiences diminishing marginal returns with respect to labor when hiring the: a) 2nd worker b) 3rd worker c) 4th worker d) 5th worker e) 6th worker 3 6 1 2 1...
Molly runs a coffee shop in Lansing. The table represents the production function for the coffee shop. The number in cells represent the cups of coffee that can be made with various combinations of labor and capital. Suppose Molly is using 2 units of capital and 2 units of labor. The marginal product of capital for K=3 is a) 48 b) 49 c) 52 d)55 1 6 1 2 2 142 201 250 296 338 3 190 256 308 354...
Question 1 (1 point) Molly runs a coffee shop in Lansing. The table represents the production function for the coffee shop. The number in cells represent the cups of coffee that can be made with various combinations of labor and capital. 1 2 3 4 5 Capital(K) 1 100 153 196 231 262 2 142 201 250 296 338 Labor(L) 4 235 300 359 406 450 3 190 256 308 354 398 5 270 342 400 444 487 6 290...
Is this a short run production function or long run production function? How do you know? Molly runs a coffee shop in Lansing. The table represents the production function for the coffee shop. The number in cells represent the cups of coffee that can be made with various combinations of labor and capital. Labor(L) 4 1 2 1 100 153 196 231 262 2 142 201 250 296 338 3 190 256 308 354 398 5 270 342 400 444...
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...
In C++ Programming: Using a single for loop, output the even numbers between 2 and 1004 (inclusive) that iterates (loops) exactly 502 times. The outputted numbers be aligned in a table with 10 numbers per row. Each column in the table should be 5 characters wide. Do not nest a loop inside of another loop. Hint: First create and test the code that output the numbers all on one line (the command line will automatically wrap the output to new...
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