Conditional probability

Ever since the day America was discovered people have colonized the land looking for something more. Some of the many reasons people first settled in the Americas was to pursue freedom of religion, wealth, gold, land, and some came just for the adventure. But above all they came to obtain the American dream. The American dream is the opportunity to reach one's fullest potential by bettering themselves through hard work and determination. This collective goal has allowed many people in the past…

There are different aspect to the welfare system. There is food stamps, TANF, Medicaid, and other type’s public assistance. There is some myths to people that are receiving the public assistance, one of these being that families getting help tend to have a lot of children. The truth is that 37% of the people receiving TANF only have one child. And 27% of families receiving TANF has two children (Koppelman, 2005, p.219). Another myth that families that receive public assistance is lazy or will…

It is vital to make federal institutions more accessible to the impoverished population in order to strive toward social inclusion. Many American’s who fall beneath the poverty line restrain from seeking federal aid due to the complicated path of receiving financial relief. In 1996, the Welfare Reform Act was passed and on the surface seemed to present a wide variety of benefits and provisions for those who rely on welfare. According to reports, within three years of the reforms existence…

Reflection on: “‘They Never Did Me Any Good’: Welfare-To-Work Programs From the Vantage Point of Poor Women”. The article first provided an overview of the Personal Responsibility and Work Opportunity Reconsolidation Act (PRWORA), and described it as a governmental attempt to reduce the dependency on welfare. In class we have discussed the Welfare-to-Workfare programs, which creates precarious jobs—underpaid, temporary, with little to no benefits. While the program aims to help individuals…

Joint Probability of Non-Independent Events For the joint probability of non-independent events A and B, we need to use a conditional probability. For P(Zargon-AND-Abduct), we cab use P(Zargon|Abduct) or P(Abduct|Zargon). P(Zargon) x P(Abduct|Zargon) = 8 /20 x 3 /8 = 24/160 = 3 /20 P(Abduct) x P(Zargon|Abduct) = 6 /20 x 3 /6 = 18/120 = 3 /20 Here is a different problem. The UFOs are invading, and the military shoots two special UFO missiles. The missiles blow up two of the UFOs. What is…

died. The unconditional probability of the hypothesis that our J. Doe died during 2000, H, is just the population-wide mortality rate P(H) = 2.4M/275M = 0.00873. To find the probability of J. Doe's death conditional on the information, E, that he or she was a senior citizen, we divide the probability that he or she was a senior who died, P(H & E) = 1.36M/275M = 0.00495, by the probability that he or she was a senior citizen, P(E) = 16.6M/275M = 0.06036. Thus, the probability of J. Doe's death…

PN=0,4) and it equals to 0,8 x 0,9 x 0,6 x 0,4 =0,1728. Remember, the conditional risk formula? Assuming again, that probability of attack and relative consequences both equal 1,0, conditional risk R= 1,0 x (1 – 0,1728) x 1,0 = 0,8272 ( or we can say that the risk equals 83% if rounded). Is it a lot? It depends on conversion table we will use to present numerical value as adjectival. And what it is mean? For example, a conditional risk value of 0,8272 would indicate that risk was at 83%. What…

negative to positive, therefore when the individual is black the probability of being arrested conditional on being stopped in New York City increases rather than decreases compared to other races. Now this probability of an arrest increases by 0.3253\% to 0.35675\% compared to a stop of another individual. Table 2 shows that precinct-level fixed effects are jointly significant in explaining the probability of being arrested conditional on being stopped in New York City because the p-values are…

two villages be extremely di¤erent? Reason your answer. Answer: Intuitively, if each child independently has probability to be a boy and 1 probability to be a girl, then no matter how many children a couple already have, the probability of the next child being a boy is still : Comparing the two villages, although the numbers of children (per family) may be very di¤erent, the probabilities of each child being a boy are both . Thus the percentage of boys is approximately in each village. The…

Hardy­Weinberg Law Given the mathematical and statistical methods used already, this law also uses probability, however is represented in a graphical manner. Through this graph I will determine if the class data set has significant variation on an allele by genotype graph by comparing their points to the collection of data sets from Census at School that will represent in this paper as the Canadian average. The Hardy­Weinberg Law, developed by G.H Hardy and Wilhelm Weinberg in 1908, states that…