Case Study 2: Def Sierpinski(myTurtle, P1, P2, P3, Depth)

question 29

Multiple Choice

Case Study 2:
def sierpinski(myTurtle, p1, p2, p3, depth) :
if depth > 0:
sierpinski(myTurtle, p1,
midPoint(p1, p2) , midPoint(p1, p3) , depth - 1)
sierpinski(myTurtle, p2,
midPoint(p2, p3) , midPoint(p2, p1) , depth - 1)
sierpinski(myTurtle, p3,
midPoint(p3, p1) , midPoint(p3, p2) , depth - 1) else:
drawTriangle(myTurtle, p1, p2, p3)
-Refer to the session in the accompanying Case Study 2. Which of the following lines correctly implements the midPoint function: def midPoint(p1, p2) ?

• A) return ((p1[0] + p2[0])/2.0, (p1[1] + p2[1])/2.0)
• B) return ((p1[1] + p2[1])/2.0, (p1[1] + p2[1])/2.0)
• C) return ((p1[0] + p2[0])/3.0, (p1[1] + p2[1])/3.0)
• D) return ((p1 + p2[0])/2.0, (p1 + p2[1])/2.0)

Comprehend the definition of a consumer under the Magnuson-Moss Warranty Act and the act's applicability to consumer transactions.

Understand the components of a comprehensive consumer credit report and the regulations governing credit reporting.

Realize the implications of non-compliance with the Fair Credit Billing Act by credit card issuers.

Recognize the criteria for proving deception under Section 5 of the FTC Act.

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Definitions:

Random Variable

A variable whose values depend on outcomes of a probabilistic phenomenon, often used in statistics and probability theory.

Future Price

The predicted price of a commodity, security, or currency in a futures contract for delivery and payment at a specified future date.

General Motors

A multinational corporation based in the United States that designs, manufactures, markets, and distributes vehicles and vehicle parts.

Moral Hazard

A situation where one party in an agreement can take risks because the other party bears the consequences of those risks.