### Why should I choose AnalystNotes?

Simply put: AnalystNotes offers the best value and the best product available to help you pass your exams.

##### Learning Outcome Statements
 1. Introduction and Discrete Random Variablesa. define a probability distribution and compare and contrast discrete and continuous random variables and their probability functions; b. calculate and interpret probabilities for a random variable given its cumulative distribution function; 2. Probability Functiona. define a probability distribution and compare and contrast discrete and continuous random variables and their probability functions; b. calculate and interpret probabilities for a random variable given its cumulative distribution function; 3. Cumulative Distribution Functiona. define a probability distribution and compare and contrast discrete and continuous random variables and their probability functions; b. calculate and interpret probabilities for a random variable given its cumulative distribution function; 4. Discrete and Continuous Uniform Distributionc. describe the properties of a discrete uniform random variable, and calculate and interpret probabilities given the discrete uniform distribution function; d. describe the properties of the continuous uniform distribution, and calculate and interpret probabilities given a continuous uniform distribution; 5. Binomial Distributione. define the properties of a Bernoulli random variable and a binomial random variable, and calculate and interpret probabilities given the binomial distribution function; 6. Normal Distributionf. explain the key properties of the normal distribution; g. contrast a multivariate distribution and a univariate distribution, and explain the role of correlation in the multivariate normal distribution; h. calculate the probability that a normally distributed random variable lies inside a given interval; 7. The Standard Normal Distributioni. explain how to standardize a random variable; j. calculate and interpret probabilities using the standard normal distribution; 8. Shortfall Risk and Roy's Safety-First Criterionk. define shortfall risk, calculate the safety-first ratio, and identify an optimal portfolio using Roy's safety-first criterion; 9. The Lognormal Distributionl. explain the relationship between normal and lognormal distributions and why the lognormal distribution is used to model asset prices; 10. Continuously Compounded Rates of Returnm. calculate and interpret a continuously compounded rate of return, given a specific holding period return; 11. Student's t-, Chi-Square, and F-Distributionsn. describe the properties of the Student's t-distribution, and calculate and interpret its degrees of freedom; o. describe the properties of the chi-square distribution and the F-distribution, and calculate and interpret their degrees of freedom; 12. Monte Carlo Simulationp. describe Monte Carlo simulation.
I am using your study notes and I know of at least 5 other friends of mine who used it and passed the exam last Dec. Keep up your great work! 