Answer:
Go to desmos.com/calculator
Step-by-step explanation:
It has a graphing calculator and it super easy to plug in.
The decreasing of the prices and increasing of buying are correlated with the human behavior.
<h3>What is a Demand Graph ?</h3>
Demand graph is the curve in the study of economics which tells us about the number of units purchased or the demand of the product with respect to the price.
The demand line slopes downward means the price is decreasing and more people are buying it.
The increase in the buying of the goods on decreasing prices is affected by human behavior as when the price decrease , the middle class people have a tendency to buy more quantity and
even there is need to satisfy unsatisfied wants , If a product was costlier before and the prices have decrease then to satisfy the wants , the people buy it ,
Hence decreasing of the prices and increasing of buying are correlated with the human behavior.
To know more about Demand Graph
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Answer:
D
Step-by-step explanation:
We have:
![(x+1)^2](https://tex.z-dn.net/?f=%28x%2B1%29%5E2)
Expand:
![=(x+1)(x+1)](https://tex.z-dn.net/?f=%3D%28x%2B1%29%28x%2B1%29)
Distribute Property:
![=(x+1)x+(x+1)(1)](https://tex.z-dn.net/?f=%3D%28x%2B1%29x%2B%28x%2B1%29%281%29)
Distribute:
![=x^2+x+x+1](https://tex.z-dn.net/?f=%3Dx%5E2%2Bx%2Bx%2B1)
Add:
![=x^2+2x+1](https://tex.z-dn.net/?f=%3Dx%5E2%2B2x%2B1)
Hence, our answer is D.
Answer:
b. Greater than or equal to 0.9.
Step-by-step explanation:
We have three types of risks, that can make the project fail independently.
The probability of failure have to be calculated as the complement of the probability of success, and the probability of success is the probability of avoiding each of the risks.
The probability of avoiding each of the risks is the complementary probability of each risk. For example, the probability of avoiding the maturity risk (0.3) is 1-0.3=0.7.
Then, we can calculate the probabilty of success as:
![P_s=(1-P_{mr})(1-P_{cr})(1-P_{dr})\\\\P_s=(1-0.3)(1-0.7)(1-0.8)\\\\P_s=0.7\cdot 0.3\cdot 0.2\\\\P_s=0.042](https://tex.z-dn.net/?f=P_s%3D%281-P_%7Bmr%7D%29%281-P_%7Bcr%7D%29%281-P_%7Bdr%7D%29%5C%5C%5C%5CP_s%3D%281-0.3%29%281-0.7%29%281-0.8%29%5C%5C%5C%5CP_s%3D0.7%5Ccdot%200.3%5Ccdot%200.2%5C%5C%5C%5CP_s%3D0.042)
Then, the probability of failure is the complementary of the probability of success:
![P_f=1-P_s\\\\P_f=1-0.042=0.958](https://tex.z-dn.net/?f=P_f%3D1-P_s%5C%5C%5C%5CP_f%3D1-0.042%3D0.958)
The probability of failure is Pf=0.958