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Mathematical (Actuarial) Statistics:(Exam P/CT3/CS1)

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  • 3,648 Students
  • Updated 8/2020
4.5
(400 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
13 Hour(s) 45 Minute(s)
Language
English
Taught by
Michael Jordan
Rating
4.5
(400 Ratings)

Course Overview

Mathematical (Actuarial) Statistics:(Exam P/CT3/CS1)

By MJ the Fellow Actuary

Statistics is all about processing data and extracting information. The information we seek is the parameters and distribution of the random variable that generated the data. Armed with this information we can answer questions about reality and optimize industrial processes. Statistics thus forms the backbone of science and business and this course is designed to help you understand the components of this fundamental subject and how they all fit together. Designed for Actuaries, but applicable for everyone. This course contains the new sections for the CS1 exam.

Sections:

  1. Exploratory Data Analysis

  2. General Probability Theory

  3. Random Variables

  4. Probability Distributions

  5. Generating Functions

  6. Joint Distributions (Covariance)

  7. Conditional Expectations

  8. Central Limit Theorem

  9. Sampling and Statistical Inference

  10. Point Estimation

  11. Confidence Intervals

  12. Hypothesis Testing

  13. Linear Regression and Correlation

  14. Analysis of Variance

  15. Bayesian Statistics and Credibility Theory

  16. Student Questions

  17. Introduction to R Programming


Course Content

  • 17 section(s)
  • 102 lecture(s)
  • Section 1 Exploratory Data Analysis
  • Section 2 General Probability Theory
  • Section 3 Random Variables
  • Section 4 Probability Distributions
  • Section 5 Generating Functions
  • Section 6 Joint Distributions
  • Section 7 Conditional Expectations
  • Section 8 Central Limit Theorem
  • Section 9 Sampling and Statistical Inference
  • Section 10 Point Estimation
  • Section 11 Confidence Intervals
  • Section 12 Hypothesis Testing
  • Section 13 Linear Regression and Correlation
  • Section 14 Analysis of Variance
  • Section 15 Bayesian Statistics
  • Section 16 Student Questions
  • Section 17 R basics for Actuaries

What You’ll Learn

  • A solid understanding of statistics and a good foundation of models, correlation and hypothesis testing.


Reviews

  • D
    Daniel J Strykiewicz
    5.0

    This was a very informative class and set up very well.

  • J
    Jennifer Nmarkwe
    4.0

    It's been an eye opening experience to the world of Statistics and Mathematics

  • M
    Moleseng Daisy Kunaka
    5.0

    Great match for me. I have some background in stats and maths and needed to recap before diving into past papers.

  • I
    Isa
    5.0

    MJ is great at explaining very complicated concepts in a way that is easy to understand and relatable! I've used this course as preparation for the CS1 exam - it's been very helpful.

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