Answer:
Irrational decision
Explanation:
Irrational decisions refer to those decisions which are not taken after enough deliberation, ignore the rationale, facts and logic, are rather decided out of whim and impulse and usually instantly decided.
In the given case, Joe was not willing to pay more than $500 cash yet eventually ended up paying $600. Even if the $25 gift card is considered, he ended up paying $575 which is more than he had decided to pay.
The choice of the consumer here is not rational or rather irrational since, he without considering other alternatives or exercise of judgement, without evaluating his costs, impulsively opted for the credit card lured by $25 gift card.
As per the economic theory, Joe's decision would be referred to as irrational.
Answer:
If computers are produced mostly by capital and beer is produced mostly by labor, the H-O model predicts that
Germany will export computers in exchange for beer.
Explanation:
The H-O model or Heckscher-Ohlin theory is an economic model about the comparative advantages of nations in international trade. The model tries to explain the equilibrium of trade existing between two countries that have varying specialties and natural resources. According to the H-O model, countries export more goods and services for which they have plenty resources than they do for goods and services for which they have scarce resources. For example, if a country has capital in abundance, it will export more of capital-intensive products while it will import labor-intensive products, because it has scarce labor resources.
<span>A work order is created as soon as the customer places the request for a product or service. Since the manufacturing or the creation of the item begins only after order is made, all the resources and the raw materials should be in place well before time.</span>
Answer:
I used the relative frequency method
Explanation:
To solve this question we can use the relative frequency to find out each probability. The relative frequency is the ratio of the occurrence of each event and the total number of outcomes.
Here the experiment has been repeated 50 times, so that is the total number of outcomes and the denominator. There are 3 possible events E1, E2, and E3, so we can calculate the ratios to get the probabilities
Event E1 occurred 20 times of the 50: 
Event E2 occurred 13 times of the 50: 
Event E3 occurred 17 times of the 50: 
