- Study guides, Class notes & Summaries
Looking for the best study guides, study notes and summaries about ? On this page you'll find 12 study documents about .
12 results
Exam (elaborations)
Actuary Exam 1 Questions & Answers 2023/2024
Actuary Exam 1 Questions & Answers 2023/2024 
 
 
Mutually Exclusive Outcomes: - ANSWER-Outcomes that cannot occur simultaneously. (disjoint) 
 
Exhaustive Outcomes: - ANSWER-Combine to the entire probability space. Or, one of the outcomes must occur whenever the experiment is performed. 
 
DeMorgan's Laws: - ANSWER-(A or B)' = A' & B' ; (A & B)' = A' or B' 
 
Basic Probability: A - B = - ANSWER-A & B' 
 
Basic Probability: A = - ANSWER-(A & B) or (A & B') 
 
Uniform Probability: - ANSW...
Exam (elaborations)
Actuary Exam P Questions & Answers 2023/2024
PopularACTUARY EXAM P QUESTIONS & ANSWERS 2023/2024 
 
 
Continuos Marginal Density of y - ANSWER-integrate over all possible values of x to determine marginal density of y. 
∫from(y to 1) (2x+y)dx 
=2[(ײ÷2) - xy]from(y to 1) 
=1+2y-3y² 
 
Percentiles(discrete, continous) - ANSWER-discrete = 50th % or median is Fx(π₅₀) ≥ .50, or the first instance in which Fx is greater than .5 
 
continous = 50th % is ∫from(0 to π₅₀)f(x)dx =.5 
 
integrating with exponent on bottom - ANSWER-bring ...
Exam (elaborations)
Actuary Exam 1 Latest Updated Graded A+ (Verified)
NewActuary Exam 1 Latest Updated Graded A+ (Verified)
Exam (elaborations)
Chapter 1 Actuarial Advice Exam Questions and Answers
Chapter 1 Actuarial Advice Exam Questions and Answers
Exam (elaborations)
actuary exam Questions and correct Answers
actuary exam Questions and correct Answers
Exam (elaborations)
Actuary Exam 1 Questions and Answers
Actuary Exam 1 Questions and Answers
Exam (elaborations)
Actuary Definitions Exam Questions and Answers
Actuary Definitions Exam Questions and Answers
Exam (elaborations)
Actuarial Advice Exam Questions and Answers
Actuarial Advice Exam Questions and Answers
Exam (elaborations)
Actuary Exam 1: 2 of 3 Questions & Answers 2023/2024
Actuary Exam 1: 2 of 3 Questions & Answers 2023/2024 
 
 
What distribution would you use? Number of insurance claims during a given time period. - ANSWER-Poisson 
 
What distribution would you use? Number of deaths per year from a given group of people. - ANSWER-Poisson 
 
What distribution would you use? Number of mail pieces recieved in a day? Or number of phone calls recieved in a hour? - ANSWER-Poisson 
 
What distribution would you use: Suppose on average that a web page gets 2 hits per mi...
Exam (elaborations)
Actuary Exam Questions & Answers 2023/2024
Actuary Exam Questions & Answers 2023/2024 
 
 
An insurer offers a health plan to the employees of a large company. As part of this plan, the individual employees may choose exactly two of the supplementary coverages A, B, and C, or the may choose no supplementary coverages. The proportions of the company's employees that choose coverages A, B, and C are 1/4, 1/3, and 5/12, respectively. Determine the probability that a randomly chosen employee will choose no supplementary coverage. 
 
A. 0 
...
Exam (elaborations)
Actuary Exam 1 (with complete solutions)
Mutually Exclusive Outcomes: correct answers Outcomes that cannot occur simultaneously. (disjoint) 
 
Exhaustive Outcomes: correct answers Combine to the entire probability space. Or, one of the outcomes must occur whenever the experiment is performed. 
 
DeMorgan's Laws: correct answers (A or B)' = A' & B' ; (A & B)' = A' or B' 
 
Basic Probability: A - B = correct answers A & B' 
 
Basic Probability: A = correct answers (A & B) or (A & B') 
 
Uniform Probability: correct answers Each ...
Exam (elaborations)
Actuary
P(A∪B)=	P(A)+P(B)-P(A∩B) 
P(A∩B) =	P(A)+P(B)-P(A∪B) 
For mutual exclusion, P(A∪B)=	P(A)+P(B) 
nCk	 
P(A|B) =	P(A ∩ B) / P(B) 
Law of Total Probability	 
Bayes' Theorem	 
cumulative distribution function	F(x)=Pr(X≤x) 
Probability Density Function (PDF)	f(x)=dF(x)/dx 
Probability of Ranges for Random Variables	Pr(a<X≤b)=F(b)-F(a) 
E(x) for discrete random variables	Σxp(x) 
E(x) for continuous random variables	 
E(min(x,k)) for continuous random variables	integral from negative...