Discuss the current state of Homeland Security activities, including counterterrorism, within the Department of Homeland Security (DHS).

Identify at least three agencies within the DHS and briefly describe their homeland security roles and responsibilities.

What role(s) does our military and intelligence agencies play in the counterterrorism efforts in the war on terror?

How could the United States leverage our military and intelligence agencies to better secure our borders?

Discuss how terrorist groups are financing their operations. Include in your discussion how these groups move money around to avoid detection.

Discuss the concept of Asymmetrical Warfare and provide specific examples. Explain why terrorist groups engage in Asymmetrical warfare against western countries.

A portion Of the Examples Of Probability: X says "Don't purchase the avocados here; about a fraction of the time, they're spoiled". X is communicating his conviction about the likelihood of an occasion - that an avocado will be spoiled - in light of his own understanding. Y says "I am 95% sure the capital of Spain is Barcelona". Here, the conviction Y is communicating is just a likelihood from his perspective, in light of the fact that exclusive he doesn't realize that the capital of Spain is Madrid (from our perspective, the likelihood is 100%). Be that as it may, we can even now see this as an abstract likelihood since it communicates a measure of vulnerability. It is as if Y is stating "in 95% of situations where I feel as beyond any doubt as I do about this, I end up being correct". Z says "There is a lower possibility of being shot in Omaha than in Detroit". Z is communicating a conviction based (apparently) on measurements. Dr. A says to Christina, "There is a 75% possibility that you will live." Dr. An is basing this off of his examination. Likelihood can likewise be communicated in dubious terms. For instance, somebody may state it will presumably rain tomorrow. This is emotional, yet suggests that the speaker trusts the likelihood is more prominent than half. Emotional probabilities have been broadly examined, particularly concerning betting and securities markets. While this kind of likelihood is imperative, it isn't the subject of this book. There are two standard ways to deal with thoughtfully translating probabilities. The first is known as the long run (or the relative recurrence approach) and the emotional conviction (or certainty approach). In the Frequency Theory of Probability, likelihood is the cutoff of the relative recurrence with which an occasion happens in rehashed preliminaries (take note of that preliminaries must be free). Frequentists discuss probabilities just when managing tests that are irregular and very much characterized. The likelihood of an irregular occasion indicates the relative recurrence of event of a test's result, when rehashing the analysis. Frequentists view likelihood as the relative recurrence "over the long haul" of results. Physical probabilities, which are additionally called target or recurrence probabilities, are related with arbitrary physical frameworks, for example, roulette wheels, moving ivories and radioactive particles. In such frameworks, a given kind of occasion, (for example, the dice yielding a six) has a tendency to happen at a relentless rate, or 'relative recurrence', in a long keep running of preliminaries. Physical probabilities either clarify, or are summoned to clarify, these steady frequencies. Subsequently discuss physical likelihood bodes well just when managing very much characterized irregular investigations. The two principle sorts of hypothesis of physical likelihood are frequentist records and penchant accounts. Relative frequencies are dependably between 0% (the occasion basically never happens) and 100% (the occasion basically dependably happens), so in this hypothesis also, probabilities are somewhere in the range of 0% and 100%. As indicated by the Frequency Theory of Probability, saying that "the likelihood that A happens is p%" is that on the off chance that you rehash the trial again and again, freely and under basically indistinguishable conditions, the level of the time that A happens will focalize to p. For instance, under the Frequency Theory, to state that the shot that a coin lands heads is half implies that on the off chance that you flip the coin again and again, autonomously, the proportion of the circumstances the coin lands heads to the aggregate number of hurls approaches a restricting estimation of half as the quantity of hurls develops. Since the proportion of heads to hurls is dependably somewhere in the range of 0% and 100%, when the likelihood exists it must be somewhere in the range of 0% and 100%. In the Subjective Theory of Probability, likelihood measures the speaker's "level of conviction" that the occasion will happen, on a size of 0% (finish skepticism that the occasion will happen) to 100% (sureness that the occasion will happen). As per the Subjective Theory, what it implies for me to state that "the likelihood that A happens is 2/3" is that I trust that A will happen twice as emphatically as I trust that A won't occur. The Subjective Theory is especially helpful in doling out importance to the likelihood of occasions that on a basic level can happen just once. For instance, by what method may one dole out importance to an announcement like "there is a 25% possibility of a seismic tremor on the San Andreas blame with greatness 8 or bigger before 2050?" It is difficult to utilize either the Theory of Equally Likely Outcomes or the Frequency Theory to comprehend the affirmation. Bayesians, in any case, dole out probabilities to any announcement at all, notwithstanding when no irregular procedure is included. Likelihood, for a Bayesian, is an approach to speak to a person's level of faith in an announcement, given the proof. Evidential likelihood, additionally called Bayesian likelihood, can be relegated to any announcement at all, notwithstanding when no irregular procedure is included, as an approach to speak to its emotional believability, or how much the announcement is upheld by the accessible confirmation. On most records, evidential probabilities are thought to be degrees of conviction, characterized regarding manners to bet at certain chances. The four primary evidential elucidations are the established translation, the abstract understanding, the epistemic or inductive translation, and the coherent understanding. Hypothesis: Like different speculations, the hypothesis of likelihood is a portrayal of probabilistic ideas in formal terms-that is, in wording that can be thought about independently from their importance. These formal terms are controlled by the tenets of science and rationale, and any outcomes are then deciphered or made an interpretation of once more into the issue area. There have been no less than two effective endeavors to formalize likelihood, specifically the Kolmogorov detailing and the Cox definition. In Kolmogorov's definition, sets are deciphered as occasions and likelihood itself as a measure on a class of sets. In Cox's hypothesis, likelihood is taken as a crude and the accentuation is on developing a predictable task of likelihood esteems to suggestions. In the two cases, the laws of likelihood are the same, aside from specialized subtle elements. There are different techniques for measuring vulnerability, for example, the Dempster-Shafer hypothesis or plausibility hypothesis, yet those are basically extraordinary and not good with the laws of likelihood as they are normally comprehended. Numerical Treatment: In arithmetic, a likelihood of an occasion An is spoken to by a genuine number in the range from 0 to 1 and composed as P(A), p(A) or Pr(A). A unimaginable occasion has a likelihood of 0, and a specific occasion has a likelihood of 1. Be that as it may, the banters are not generally evident: likelihood 0 occasions are not generally inconceivable, nor likelihood 1 occasions certain. The inverse or supplement of an occasion An is the occasion (that is, the occasion of A not happening); its likelihood is given by P(not A) = 1 - P(A). For instance, the shot of not rolling a six on a six-sided kick the bucket is 1 - (possibility of rolling a six) . On the off chance that both the occasions An and B happen on a solitary execution of an examination this is known as the convergence or joint likelihood of An and B, signified as . On the off chance that two occasions, An and B are autonomous then the joint likelihood is For instance: if two coins are flipped the shot of both being heads is On the off chance that either occasion An or occasion B or the two occasions happen on a solitary execution of an analysis this is known as the association of the occasions An and B indicated as . On the off chance that two occasions are fundamentally unrelated then the likelihood of either happening is>

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