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18. [LAW CASE STUDIES] November 10, 2013 Abhishekh holds the promissory note as a holder in due course. He gives it to Aishwarya. Is Aishwarya

18. [LAW CASE STUDIES] November 10, 2013 Abhishekh holds the promissory note as a holder in due course. He gives it to Aishwarya. Is Aishwarya holder in due course why? Ans : The given case is under the chapter of negotiable instrument which means promissory notes, bills of exchange or cheque payable either to order or to bearer. In this set case Abhishekh holds the promissory note as a holder in due course. He gives it to Aishwarya. Here abhishek is a holder in due course. Holder of due course refers to an individual who takes a commercial paper for value, in good faith, with the belief that it is valid, with no knowledge of any defects. He must have taken the instrument for value before maturity. Here Aishwarya becomes holder in due course because as per the section 9 of holder in due case says that the person can be call it as holder in due case in the title of the person whom he derived his title. Under section 42 of privilege of a holder in due course says that, the acceptor of a bill of exchange or promissory note will be liable to the holder in due course. He cannot say that the other parties to the bill were fictitious. Aishwarya accepted the same promissory note with a good faith with the belief that it is valid. Therefore here Aishwarya is Holder in due course CASE STUDY : 17

Question 7

1. Capital is one of the three important inputs called factors of production________ which is a produced and hard-wearing input and is itself an output of an concentrated. Which from the subsequent is NOT among investment_______?

2. The monetary term used to rank nation __________state bestowing to human growth is _________

3. The eventual goal of pecuniary ________knowledge is to_________

4. In which from the following questions, we can only examine the likely consequences of alternative policies, and the answer can be resolved only by discussions_________

5. According to the philosophers of the economist, what is predestined_________ by transshipment center trade_________?

6. The conflict of concentration sandwiched between owners _________of a establishment and the administration of the corporation is termed as__________

7. In agreement to the types of market what is predestined by the sympathetic of oligopoly________

8. In a anticompetitive opposition, a commercial finds its maximum-profit situation where ___________

9. In a perfect competition, maximum profit occurs where marginal revenue equals___________

10. A manufacturer or a company had better accept reserves that have _____ net contemporary standards___________

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What do we call a continuous random variable in which any two intervals of equal length are equally likely? O Uniform Probability Distribution O Normal Probability Distribution O Binomial Probability Distribution O Independent Probability DistributionGenerating a pair of independent Gaussian random variables: Understand the procedure in 5.10 Generating independent Gaussian random variables of the textbook. Write a Matlab code that generates a pair of independent Gaussian random variables and displays the following. You can use other programming tools available. (a) Histograms for a Gaussian random variable for 1000 and 5000 samples. (b) Scattergrams for 1000 and 5000 pairs of Gaussian random variables. What to submit: one pdf file that contains the following. Only pdf file type is allowed for upload. (25pt) Description of the method with your code (25pt) Two histogram figures for 1000 and 5000 samples. Refer to Figure 5.28 (25pt) Two scattergrams for 1000 and 5000 pairs of Gaussian random variables. Refer to Figure 5.29 (25pt) Your comments on the resultsX and Y are jointly Gaussian random variables. Which one of the following statements is not necessarily true? 0 X + Y and X + 2Y are also two jointly Gaussian random variables. 0 X + Y and X - Y are also two jointly Gaussian random variables. 0 5+2X+Y has a Gaussian distribution 0 X + Y and X Y are independent. 0 X and Y are uncorrelated if and only ifthey are independent. 0 X + Y is a Gaussian random variable

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