[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-398875-105":59,"doc-detail-398875-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","acts3110-actuarial-exam-p-preparation-fall-2025","ACTS:3110 Actuarial Exam P Preparation - Fall 2025","","ACTS:3110 provides structured preparation for the Society of Actuaries Exam P, a three-hour multiple-choice probability exam. The course introduces key probability tools and, for each tested subject, briefly covers relevant formulas and problem-solving skills before students work on selected past exam problems. 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D. Shyamalkumar; 233 SH, [shyamal-kumar@uiowa.edu](shyamal-kumar@uiowa.edu)[ ](shyamal-kumar@uiowa.edu)DEO: Kung-Sik Chan; 241 SH, [kung-sik-chan@uiowa.edu](kung-sik-chan@uiowa.edu)  \nCourse description  \nThis short course is designed to aid students in their preparation for Exam P of the Society of Actuaries. For each subject tested on exam P, relevant formulas and problem-solving skills will be briefly introduced after which students will be given selected past exam problems to work on. There are no official prerequisites for this course, but i t is assumed that students have already studied (or are in the process of studying) the subjects tested on Exam P.  \nWhat is Exam P?  \nExam P is a 3-hour multiple-choice exam on probability. It tests students’ knowledge of the fundamental probability tools for quantitatively assessing risk. The application of these tools to problems encountered in actuarial science is emphasized. A thorough command of probability topics and the supporting calculus is assumed. Additionally, avery basic knowledge of insurance and risk management is assumed.  \nLearning Objectives of Exam P  \n1. General probability: Set functions, independent and mutually exclusive events, addition and multiplication laws, combinatorial and conditional probability and Bayes’ theorem  \n2. Univariate probability distributions (including binomial, negative binomial, geometric, hypergeometric, Poisson, uniform, exponential, gamma, normal, beta, lognormal and mixed): Probability mass function / density function, distribution function, percentiles and moments, mode and median, standard deviation and variance, coefficient of variation, sum of independent random variables (Poisson, and normal)  \n3. Multivariate probability distributions (including the bivariate normal): Joint pmf, joint distribution, conditional and marginal distribution function, covariance and correlation, variance and moments for conditional and marginal probability distribution, order statistics, sum of independent random variables, Central Limit Theorem  \nTextbook  \nThere is no required textbook for the course. Brief notes will be posted on ICON. Please print them before class.  \nCalculator  \nCandidates may use the battery-or solar-powered Texas Instruments BA-35 model calculator, the BA II Plus*, the BA II Plus Professional 1 , the TI-30Xa, TI-30X II (IIS solar or IIB battery) 1 or TI-30XS MultiView (or XB battery) 1. Candidates may use more than one of the approved calculators.  \nStructure of the preparation course  \n1. General probability:  \n(a) Sets; mutually exclusive events, addition laws  \n(b) Combinatorics and probability  \n(c) Conditional probability and independence; Bayes’ theorem  \n2. Univariate probability distributions  \n(a) Probability mass function / density function, cumulative distribution function  \n(b) Moments, standard deviation and variance; coefficient of variation  \n(c) Percentiles, median, mode  \n(d) Distributional families: binomial, negative binomial, geometric, hypergeometric, Poisson, uniform, exponential, gamma, normal  \n(e) Sum/linear combinations of independent random variables (Poisson and normal)  \n3. Risk and insurance  \n(a) Risk pooling  \n(b) Mixed distributions  \n(c) Deductibles, policy limits, inflation  \n4. Multivariate probability distributions:  \n(a) Joint pmf, joint cdf, conditional and marginal distribution function  \n(b) Product moments and independence; covariance and correlation  \n(c) Variance and moments for conditional and marginal probability distrib","cbCaiehi869k5PaD","https://ap.wps.com/l/cbCaiehi869k5PaD","pdf",119962,"English","# Course information\n## Instructor and contacts\n## Course description\n## What is Exam P?\n## Learning objectives of Exam P\n# Course structure and assessment\n## Structure of the preparation course\n## Risk and insurance topics\n## Assessment and attendance\n# Resources and logistics\n## Textbook and lecture notes\n## Calculator policy\n## Resources and links","[{\"question\":\"What is the focus of ACTS:3110 for Exam P preparation?\",\"answer\":\"The course prepares students for SOA Exam P by introducing essential probability formulas and problem-solving skills, then using selected past exam problems for practice.\"},{\"question\":\"Which main topic areas are covered under the learning objectives?\",\"answer\":\"It covers general probability, univariate probability distributions, multivariate probability distributions (including bivariate normal), and related calculus-based concepts such as covariance, correlation, and the Central Limit Theorem, along with risk and insurance topics.\"},{\"question\":\"How is the course graded and what are the attendance rules?\",\"answer\":\"The class is graded PASS/FAIL with a passing grade at 60% or above. Attendance is required, checked each class, and lateness results in a 50% deduction of the points.\"}]","ACTS:3110 Actuarial Exam P Preparation - Fall 2025 | PDF",1790489521]