Answer:
sry I just wanted the points I'm in middle school so I don't know this stuff either but can you give free brainlyest I'm soo close to my next rank I'd really appreciate it if you would
Answer:
All Individuals, whether rich or poor,are dissatisfied with their material well-being and would like more.
Explanation:
Individuals wanting more and not being satisfied with their material well being goes back to the fundamental problem of economics-unlimited human wants. Economists argue that human wants are unlimited and insatiable irrespective of their economic class. Whether rich or poor, no man is satisfied with his material well-being. Every man still feel something is lacking after acquiring so much or so little. He still has the scarcity problem.
This never-ending desire is embedded in the physiological make up of a man. When a man gets food, then he wants house. When he gets house, he wants car. When he gets a car, he wants to buy a private jet. In short, the more he gets, the more he wants more.
And that`s is the reason why you would win $1 million and stills not satisfied with having enough. You would still believe you lack something. You would still want to acquire more just to solve this scarcity problem.
Other options do not explain the problem ; they just points at microeconomics and macroeconomics issues.
Answer:
A free enterprise economy has five important characteristics. They are: economic freedom, voluntary (willing) exchange, private property rights, the profit motive, and competition.
Hope this helps!
The use of long-term savings to earn a financial reward is called 12 years.
Answer:
The answer is NO. The experimental results did not support the claim that less than 0.2 percent of the company's batteries would fail during the advertised time period.
Explanation:
From the illustration, for 15 batteries to fail out of 5000 batteries that means a 0.3 percent failure. Hypothetically, since there has been a claim that about 0.2 per cent will fail and we now have a confirmed failure rate of 15 in 5000 or 0.3 per cent rate, then we can infer that the hypothesis of 0.2 percent may be incorrect after all since it is still less than the confirmed rate of 0.3 per cent failure. Thus, since 0.3 rate is higher than 0.2 rate, then the hypothesis is wrong by a margin of 0.1 percent.
