https://ronlevygroup.cst.temple.edu/courses/2016_fall/biost5312/lectures/biostat_lecture_02.pdf
Prevalence of a disease is the probability of currently having the disease regardless of the duration of time one has had the disease. Prevalence is obtained by dividing the number of people who currently have the disease by the number of people in the study population.
https://cis.temple.edu/~latecki/Courses/CIS2033-Spring13/Modern_intro_probability_statistics_Dekking05.pdf
Basic to statistics is that one usually does not consider one experiment, that the same experiment is performed several times. For example, we throw a coin two times.
https://cis.temple.edu/~latecki/Courses/CIS2033-Spring12/ElementaryProbabilityforApplications/ch2.pdf
One of the reasons Selix won so many times in 2006 is that he spent about $200 a week or more than $10,000 a year on scratch-off games. If the games cost $1 then this would be 10,000 plays with an approximate 1/100,000 chance of winning.
https://cis-linux1.temple.edu/~tug29203/25fall-2033/lectures/ch1-1.pdf
Suppose you’re on a game show, and you’re given the choice of three doors; behind one door is a car; behind the others, goats. You pick a door, say No. 1, and the host, who knows what’s behind the doors, opens another door, say No. 3, which has a goat.
https://cst.temple.edu/sites/cst/files/IPLecture1.pdf
What is integrable probability? Imagine you are building a tower out of standard square blocks that fall down at random time moments. How tall will it be after a large time T? It is natural to expect that Height = const T + random fluctuations What can one say about the fluctuations?
https://cis.temple.edu/~latecki/Courses/CIS2033-Spring13/PPT/C2_CIS2033.ppt
If we consider an experiment that only has two outcomes, such as success or failure, one outcome has a probability p to occur where 0 < p < 1, and the other outcome has a probability of 1 - p to occur. 2.3 – Probability To assign probability to an event, we can use the additivity property.
https://www.fox.temple.edu/directory/cheng-yong-tang-tuf80684
He has been the sole PI of two NSF Grants, one on methods for longitudinal data analysis supported by the Division of Social and Economics Sciences, and the other on ensemble learning methods with random projections supported by the BIGDATA program. Dr. Tang has been the recipient of numerous honors and awards.
https://cis.temple.edu/~giorgio/cis587/readings/constraints.html
We generate one by one all possible complete variable assignments and for each we test if it satisfies all constraints. The corresponding program structure is very simple, just nested loops, one per variable.
https://cis.temple.edu/~anwar/CIS2305Spring2014/LabAssignments/LabAssignment3/loancalculator.html
In this example, you have to make one payment per month for 30 years. This means you will make 360 payments over the course of the mortgage (12 x 30 = 360). Determining a monthly payment If there were no interest rate, determining your monthly rate would be simple: divide the loan amount by the number of payments ($250,000 / 360 = $694.44).
https://sites.temple.edu/gametheory/2024/04/22/understanding-the-game-theory-in-poker/
One of the foundational concepts in game theory applied to poker is the Nash Equilibrium, named after mathematician John Nash. In poker terms, Nash Equilibrium occurs when a player’s strategy is optimal, considering the strategies of their opponents.