thanks.........

根据　Learning Outcome Statement (LOS)　这个主线学习，
LOS 5.a interest rate
LOS 5.b Real risk free rate
LOS 5.c Effective annual rate when there are m compounding periods
LOS 5.d non-annual time value of money problems
LOS 5.e FV and PV, annuity,
LOS 5.f Timeline and cash flow to solve TVM problem
a  interpret interest rates as required rates of return, discount rates, or opportu- nity costs;
b  explain an interest rate as the sum of a real risk-free rate, and premiums that compensate investors for bearing distinct types of risk;
c  calculate and interpret the effective annual rate, given the stated annual interest rate and the frequency of compounding;
d  solve time value of money problems for different frequencies of compounding;
e. calculate and interpret the future value (FV) and present value (PV) of a singlesum of money, an ordinary annuity, an annuity due, a perpetuity (PV only), anda series of unequal cash flows;
f. demonstrate the use of a time line in modeling and solving time value of moneyproblems.

１月27日完成

今天进度到FV of Annuity Due, 休息一下，把last resort最后一级看完：）明天把后半段看完，还剩下：
discounted cash flow applications (Jan 27)
READING 6. DISCOUNTED CASH FLOW APPLICATIONS
The candidate should be able to:

• a  calculate and interpret the net present value (NPV) and the internal rate ofreturn (IRR) of an investment;　今日到这！（27)
• b  contrast the NPV rule to the IRR rule, and identify problems associated withthe IRR rule;
• c  calculate and interpret a holding period return (total return);
• d  calculate and compare the money-weighted and time-weighted rates of returnof a portfolio and evaluate the performance of portfolios based on thesemeasures;今日到这！（29)拖沓了，加油！
• e  calculate and interpret the bank discount yield, holding period yield, effectiveannual yield, and money market yield for U.S. Treasury bills and other moneymarket instruments;
• f  convert among holding period yields, money market yields, effective annualyields, and bond equivalent yields.
  

READING 7. STATISTICAL CONCEPTS AND MARKET RETURNS (Jan 28-29)今日目标！
The candidate should be able to:

• a  distinguish between descriptive statistics and inferential statistics, between apopulation and a sample, and among the types of measurement scales;今日到这里！分享一个概念点的中文地址　http://blog.sina.com.cn/u/2395009240
• b  define a parameter, a sample statistic, and a frequency distribution;
• c  calculate and interpret relative frequencies and cumulative relative frequencies, given a frequency distribution;
• d  describe the properties of a data set presented as a histogram or a frequencypolygon;
• e  calculate and interpret measures of central tendency, including the populationmean, sample mean, arithmetic mean, weighted average or mean, geometricmean, harmonic mean, median, and mode;;今日到这里！用英文回顾了统计学，不过大学统计学没学好，以前的教科书太理论化了：（
• f  calculate and interpret quartiles, quintiles, deciles, and percentiles;
• g  calculate and interpret 1) a range and a mean absolute deviation and 2) the variance and standard deviation of a population and of a sample; 有点慢，１月３０日到这里
• h  calculate and interpret the proportion of observations falling within a specified number of standard deviations of the mean using Chebyshev’s inequality
• i  calculate and interpret the coefficient of variation and the Sharpe ratio;
• j  explain skewness and the meaning of a positively or negatively skewed returndistribution;
• k  describe the relative locations of the mean, median, and mode for a unimodal,nonsymmetrical distribution;
• l  explain measures of sample skewness and kurtosis; １月３1日早上到这里，早上看难的，概念的好！
• m  explain the use of arithmetic and geometric means when analyzing investment returns.
  

READING 8. PROBABILITY CONCEPTS (Jan30)
The candidate should be able to:a  define a random variable, an outcome, an event, mutually exclusive events, andexhaustive events;
b  state the two defining properties of probability and distinguish among empiri-cal, subjective, and a priori probabilities;
c  state the probability of an event in terms of odds for and against the event;
d  distinguish between unconditional and conditional probabilities;
e  explain the multiplication, addition, and total probability rules;
f  calculate and interpret 1) the joint probability of two events, 2) the probabilitythat at least one of two events will occur, given the probability of each and thejoint probability of the two events, and 3) a joint probability of any number ofindependent events;
g  distinguish between dependent and independent events;   
h  calculate and interpret an unconditional probability using the total probability　rule; i  explain the use of conditional expectation in investment applications;
j  explain the use of a tree diagram to represent an investment problem;
k  calculate and interpret covariance and correlation;
l  calculate and interpret the expected value, variance, and standard deviation of arandom variable and of returns on a portfolio;
m  calculate and interpret covariance given a joint probability function;
n  calculate and interpret an updated probability using Bayes’ formula;
o  identify the most appropriate method to solve a particular counting problem,and solve counting problems using the factorial, combination, and permutationnotat

READING 9. COMMON PROBABILITY DISTRIBUTIONS (Jan 31)
The candidate should be able to:
a  define a probability distribution and distinguish between discrete and continu- ous random variables and their probability functions;
b  describe the set of possible outcomes of a specified discrete random variable;
c  interpret a cumulative distribution function;
d  calculate and interpret probabilities for a random variable, given its cumulative distribution function;
e  define a discrete uniform random variable, a Bernoulli random variable, and a binomial random variable;
f  calculate and interpret probabilities given the discrete uniform and the bino- mial distribution functions;
g  construct a binomial tree to describe stock price movement;
h  calculate and interpret tracking error;
i  define the continuous uniform distribution and calculate and interpret proba- bilities, given a continuous uniform distribution;
j  explain the key properties of the normal distribution;
k  distinguish between a univariate and a multivariate distribution, and explain the
role of correlation in the multivariate normal distribution;
l  determine the probability that a normally distributed random variable lies inside a given interval;
m  define the standard normal distribution, explain how to standardize a random variable, and calculate and interpret probabilities using the standard normal distribution;
n  define shortfall risk, calculate the safety-first ratio, and select an optimal portfo- lio using Roy’s safety-first criterion;
o  explain the relationship between normal and lognormal distributions and why the lognormal distribution is used to model asset prices;
p  distinguish between discretely and continuously compounded rates of return, and calculate and interpret a continuously compounded rate of return, given a specific holding period return;
q  explain Monte Carlo simulation and describe its major applications and limitations;
r  compare Monte Carlo simulation and historical simulation.

READING 10. SAMPLING AND ESTIMATION
The candidate should be able to:
a  define simple random sampling and a sampling distribution;
b  explain sampling error;
c  distinguish between simple random and stratified random sampling;
d  distinguish between time-series and cross-sectional data;
e  explain the central limit theorem and its importance;
f  calculate and interpret the standard error of the sample mean;
g  identify and describe desirable properties of an estimator;
h  distinguish between a point estimate and a confidence interval estimate of a population parameter;
i  describe the properties of Student’s t-distribution and calculate and interpret its degrees of freedom;
j  calculate and interpret a confidence interval for a population mean, given a nor- mal distribution with 1) a known population variance, 2) an unknown popula- tion variance, or 3) an unknown variance and a large sample size;
k  describe the issues regarding selection of the appropriate sample size, data- mining bias, sample selection bias, survivorship bias, look-ahead bias, and time- period bias.

READING 11. HYPOTHESIS TESTING
The candidate should be able to:
a  define a hypothesis, describe the steps of hypothesis testing, describe and inter- pret the choice of the null and alternative hypotheses, and distinguish between one-tailed and two-tailed tests of hypotheses;
b  explain a test statistic, Type I and Type II errors, a significance level, and how significance levels are used in hypothesis testing;
c  explain a decision rule, the power of a test, and the relation between confidence intervals and hypothesis tests;
d  distinguish between a statistical result and an economically meaningful result;
e  explain and interpret the p-value as it relates to hypothesis testing;
f  identify the appropriate test statistic and interpret the results for a hypothesis test concerning the population mean of both large and small samples when the population is normally or approximately distributed and the variance is 1) known or 2) unknown;
g  identify the appropriate test statistic and interpret the results for a hypothesis test concerning the equality of the population means of two at least approxi- mately normally distributed populations, based on independent random sam- ples with 1) equal or 2) unequal assumed variances;
h  identify the appropriate test statistic and interpret the results for a hypothesis test concerning the mean difference of two normally distributed populations;
i  identify the appropriate test statistic and interpret the results for a hypothesis test concerning 1) the variance of a normally distributed population, and 2) the equality of the variances of two normally distributed populations based on two independent random samples;
j  distinguish between parametric and nonparametric tests and describe the situa- tions in which the use of nonparametric tests may be appropriate.

READING 12. TECHNICAL ANALYSIS
The candidate should be able to:
a  explain the principles of technical analysis, its applications, and its underlying assumptions;
b  describe the construction of and interpret different types of technical analysis charts;
c  explain the uses of trend, support, resistance lines, and change in polarity;
d  identify and interpret common chart patterns;
e  describe common technical analysis indicators: price-based, momentum oscilla- tors, sentiment, and flow of funds;
f  explain the use of cycles by technical analysts;
g  describe the key tenets of Elliott Wave Theory and the importance of Fibonacci numbers;
h  describe intermarket analysis as it relates to technical analysis and asset allocation.

thanks for sharing your study plan! 加油哦！