# Exam P for actuaries

The first actuary exam

What you will learn

### Guide candidate to complete the first actuary exam

Description

Exam P is a threeâ€“hour multipleâ€“choice examination and is offered via computerâ€“based testing (CBT). Itâ€™s the first step toward being an actuary.

The syllabus for Exam P develops the candidateâ€™s 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 the supporting calculus is assumed. Additionally, a very basic knowledge of insurance and risk management is assumed.

Candidates are expected to spend more than 300 hours studing and practice on this exam. The pass rate is around 45%

This course is taught by Yodharin Monplub. Professor Yodharin Monplub has an almost ASA qualification from the SOA, with only FAP left. The following are his exams qualification:

SOA: P FM IFM SRM STAM LTAM

CAS: 1 2 3/F MAS1 MAS2

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At a young age of 22, he is now a full time teacher with over 4 years of teaching experience.

There are 7 sections on this exam.

This will cover all of exam P syllabus

1. Exam P Section 1 Basic probability, Conditional probability, Independence, Combinatoric and Permutation
2. Exam P Section 2 Random variable, PDF and CDF
3. Exam P Section 3 Expectation and Variance
4. Exam P Section 4 Frequently use discrete distribution
5. Exam P Section 5 Frequently use continuous distribution
6. Exam P Section 6 Joint, Marginal and Conditional distribution
7. Exam P Section 7 Transformation of variable

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Practice Questions

Many practice questions to prepare students for exam P. The difficulty is similar to the real exam P sitting.

### Basic probability, conditional probability, independence and combinatoric

Event and Venn Euler.mp4
Union of events
intersect of events
Mutually exclusive outcome
Complement of event
Subset and subevent
Independent of event A and B
Conditional probability 1
Conditional probability 2
Conditional probability 3 4
Conditional probability 5 6
Conditional probability 7
Conditional probability 8 9
Conditional probability 10 11
Permutation
Combinatoric
Permutation with duplicate objects
Quiz for section 1
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6

### Random variable, PDF and CDF

Random variable
Discrete 1
Discrete 2
Discrete 3
Discrete 4
Continuous 1
Continuous 2
Property of continuous distribution
CDF and Survival function 1
CDF and Survival function 2
Hazard rate
Hazard rate question 1
Hazard rate question 2
Hazard rate question 3
Relationship between function
Quiz
Quiz 1 and 2
Quiz 3
Quiz 4
Quiz 5

### Expectation and variance

Expected value
Expected value of h(x)
Moments of random variables
Quiz
Quiz Question 1
Quiz Question 2
Variance
Variance question 1
Variance question 2
Variance property
Moment generetion function
Moment generation function
Moment generation function
Probability generation function
Percentile
Percentile
Percentile discrete
Mode
Minimun of variables
Minimun of variables
Maximun of variables
Input and Output
Important notes
Quiz
Quiz Question 1
Quiz Question 2
Quiz Question 3
Quiz Question 4

### Frequently use discrete distribution

Discrete Uniform Distribution
Discrete Uniform Distribution
Binomial Distribution
Binomial Distribution
Binomial Distribution
Binomial Distribution Expect and variance
Binomial Distribution question 1
Binomial Distribution question 2
Poisson Distribution
Poisson Distribution question 1 2 3
Poisson Distribution question 4
Poisson Distribution property
Geometric Distribution
Geometric Distribution question 1 2
Negative binomial Distribution
Negative binomial expect and variance
Negative binomial question 1
Hypergeometric Distribution
Multinomial Distribution
Quiz
Question 1
Question 2
Question 3
Question 4

### Frequently use continuous distribution

Uniform Distribution
Uniform Distribution question 1
Normal Distribution
Z-table
Z-table question
Z-table question
Z-table question
Normal approximation
Normal approximation question 1
Normal approximation question 2
Normal approximation question 3
Central Limit Theorem
Exponential distribution
Exponential Distribution question 1
Exponential Distribution question 2
Exponential lack of memory property
Exponential lack of memory property
Exponential lack of memory property
Link between Poisson and Exponential distribution
Link between Poisson and Exponential distribution
Minimun of collection of exponential distribution
Exponential Distribution quesiton 1 2
Exponential Distribution question 3
Gamma Distribution
Quiz
Quiz question 1
Quiz question 2 and 3
Quiz question 4

### joint, marginal and conditional distribution

Joint Distribution
Joint Distribution
Joint Distribution question
Double integration
Double integration question
Double integration question
Double integration question
Double integration question
Double integration question
Expectation of H(X)
Expectation of H(X) question
Expectation of H(X) question
Expectation of H(X) question
Joint Distribution question
Marginal Distribution
Marginal Distribution question
Marginal Distribution question
Marginal Distribution question
Independent of event
Independent of event question
Independent of event question
Independent of event question
Independent of event question
Expect value from joint and marginal
Expect value from joint and marginal
Conditional probability
Conditional probability
Conditional probability
Conditional probability
Double expectation rule
Double expectation rule
Double expectation rule
Double expectation rule
Covariance, Correlation and Variance
Covariance and Correlation question
Covariance and Correlation question
Covariance and Correlation question
Moment generation function of joint

### Transformation of variable

one-to-one transformation
one-to-one transformation
one-to-one transformation
one-to-one transformation
one-to-one transformation
Two-to-one transformation
Two-to-one transformation
Order statistic

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