JC Mr. Hume I wish to discuss your theory of causation and necessary connection, which have become the subject of much controversy among later thinkers. I would like you to clear up many of the things that these philosophers believe are controversial about your work. But first, in order to do so I think it is only fair that we first clear up what your goals were in writing An Enquiry concerning Human Understanding. DH I do agree that in order to best understand my theory it would be…
causation necessary in both senses- otherwise no one would be able to navigate the world. However, Kant’s critique of Hume is much more general than causation, Kant through causation is asserting the existence of synthetic a priori judgements. Causation as a synthetic a priori principle asserts the necessity of and in causation as precondition to navigating the world. In his second Analogy, Kant presents the argument for the objective reality of cause and effect. Were one to accept Hume’s…
knowledge, which is done by an examination of a priori and a posteriori knowledge. Along with examining a priori and a posteriori knowledge he states that each type of knowledge is acquired through a faculty. A priori knowledge is obtained by cognitive faculty (analytic) and a posteriori knowledge is obtained by sensorial faculty (synthetic). In Kant’s Of the difference between Pure and Empirical knowledge, he explains the difference between a priori and a posteriori knowledge. “Knowledge…
I am M. Patricia Cifuentes, a postdoctoral researcher at Ohio State University, appointed by the College of Public Health and Biomedical Informatics. I am an MD specialized in statistics with a doctoral degree on Public Health. I contact you to share some research ideas I propose in the context of my application to the Yerby postdoctoral fellowship program for which I suggested you as faculty mentors. The proposal I presented consists on developing theory-based and data-driven models of health…
Axiom of choice was formulated by Zermelo in 1904 and is known as Zermelo’s axiom of choice. This axiom stated that we can choose a member from each set in a collection of nonempty disjoint sets, C (Schechter, 2009). Additionally, according to Janes (2008), there exists a set X which consisting of one element taken from each set belonging to Y given that any nonempty set Y members are pairwise disjoint sets. Taking a role as a basic assumption used in many parts of mathematics as stated by…
conditional probability representation. In additional, truth tables and probability are today uses. Bayes Theorem is the final concept in statistics, which is defined as the description of the probability of events based on related conditions. Thomas Bayes developed P (A|B) = P (B|A) (P (A) / P (B) where Pierre-Simon Laplace further the Bayes theorem formula and Sir Harold Jeffreys defined the Bayes Theorem as the theory probability. There are no early uses and is used for probability, odds,…
announced by the state. The winner gets a prize. The probability that the correct 3 digits in the right order is selected is at an odds of 1 in 1,000. So if If a ticket costs two dollars and the winner must pick a sequence of five digits then if There are 10^5=100,000 different combinations of 5 digit numbers and only the right combination wins the probability to win is at a 1 in 100000 chance to win. The chance to lose the 2 dollars put in is at a probability of 99999 in 100000 chance. Even if…
List the probability value for each possibility in the binomial experiment that was calculated in MINITAB with the probability of a success being ½. (Complete sentence not necessary) P(x=0) P(x=6) P(x=1) P(x=7) P(x=2) P(x=8) P(x=3) P(x=9) P(x=4) P(x=10) P(x=5) 4. Give the probability for the following based on the MINITAB calculations with the probability of a success being ½. (Complete sentence not necessary) P(x?1) P(x<0) P(x>1) P(x?4) P(4 5. Calculate the mean and standard…
Attribute selection is the process of identifying and removing as much of the irrelevant and redundant information as possible from a dataset. If the data dimensions are reduced, we will be able to improve the performance of the applied classification algorithms. They will function faster, more efficiently and will be with an improved classification accuracy. As an addition we can also execute data visualization, and increase the insight of the potential classification model [] . There are many…
Equation of trendline 1 calculation: m= rise/run = 12/15 = 0.8 c= 5.9 y= 0.8x + 5.9 Equation of trendline 2 calculation: m= rise/run = 25/45 = 0.5 c= 17.6 y= 0.5x +17.6 Point of intersection: Equate both trendlines to find point of intersection 0.8x + 5.9 = 0.5x + 17.6 x= 39 Since x=39, x2= 9 as x2 represents x in descending order. R2: R2 for trendline 1 = 0.98 Correlation coefficient for trendline 1= 0.96 R2 for trendline 2 = 0.98 Correlation coefficient for trendline 2= -0.99 Ratio…