In finance, one example of a derivative is a financial asset whose value is determined (derived) from a bundle of various assets, such as mortgages. Suppose a randomly selected mortgage in a certain bundle has a probability of 0.08 of default. (a) What is the probability that a randomly selected mortgage will not default? (b) What is the probability that four randomly selected mortgages will not default assuming the likelihood any one mortgage being paid off is independent of the others? Note: A derivative might be an investment that only pays when all four mortgages do not default. (c) What is the probability that the derivative from part (b) becomes worthless? That is, at least one of the mortgages defaults. (a) The probability is (Type an integer or a decimal. Do not round.) (b) The probability is (Round to four decimal places as needed.) (c) The probability is (Round to four decimal places as needed.)

Q: I just need problem 2

A: 1. Pr(A') = 1 - Pr(A) = 1 - 0.7 = 0.3 Pr(B') = 1 - Pr(B) = 1 - 0.5 = 0.5 Pr(C') = 1 - Pr(C) = 1 -…

Q: I'm not sure

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Q: X y X > -4 6 -6 7 -3 0 -5 0 -2 -4 -4 -5 -1 -6 -3 -8 0 -6 -2 -9 1 -4 2 0 -1 0 -8 -5 3 6 1 0 4 14 2 7…

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Q: There isn't anything there

A: Given function isfz=zzIt is proved that fz is conformal as shown below.

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Q: Could you please expand on how you found the linear combinations?

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Q: Can you only make it first principles only?

A: We have to find the tangent equation using first principle of derivative.

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A: The following solution is given below :

Q: answer b and c are not clear, can you upload them again??

A: λ = 1.5 per week  P(X = x ) = e^-λ (λt)x / x! Where x = no of accidents  in a week As per above…

Q: Could you explain part(b) as well?

A: Our objective is given below:

Q: this the whole question.

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A: Given: The number of observations is: n=20 The level of significance is: α=0.05

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Q: It is not well explained i am confused

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Q: How did we find that variables x and y are independent?

A: Solution

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.