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Topics for Test 2 Math 115A **you will want a scientific calculator for this test A list of formulas that will be provided is on the last page. COMPOUND INTEREST FUTURE VALUE when interest is: 1. Compounded discretely (n times per year) or 2. Compounded continuously Also be able to find Present Value needed for a given future value, find rate or time needed, etc. EFFECTIVE ANNUAL YIELD—the simple interest rate that yields the same future value as a given compound rate after one year. NATURAL LOGARITHMS: Using natural logs to solve interest/yield problems Properties of logs: (know/be able to use them as needed) ln( xy) ln( x) ln( y ) ln ln( x) ln( y) RATIO of future to present value: x y ln( x n ) n ln( x) F e rt . What does this represent? P HISTOGRAMS Know how histograms are created in Excel; be able to read information from them, and know how to use a histogram to approximate a p.d.f. RANDOM VARIABLES/DISTRIBUTIONS FINITE, DISCRETE random variables: all values can be listed! (Important : You should be able to 1. IF p.m.f is given you should be able to find c.d.f (recall -first plot the c.d.f and then write the piecewise c.d.f function) 2. IF c.d.f is given you should be able to find p.m.f ( recall-decide on the possible values for the discrete r.v and then find the difference between the c.d.f function values) For All FINITE, DISCRETE random variables: f X ( x) P( X x) is the probability mass function (p.m.f.) for X. These are given in table or bar graph form. FX ( x) P( X x) is the cumulative distribution function (c.d.f.) for X. These can be given in table form or step graph form. FX(3) would represent P(X = 3) plus the probabilities of all possible values of X that are less than 3. Expected Value x P( X x) all x A specific type of FINITE, DISCRETE random variable: 1. BINOMIAL DISTRIBUTION—when does it apply? How do you calculate probabilities? Shortcut for finding expected value: E(X) = np. Topics for Test 2 Math 115A **you will want a scientific calculator for this test CONTINUOUS random variables: could not possibly list every value; values are instead represented as ranges/intervals. For CONTINUOUS random variables: The value of P( X x) 0 f X (x) is the probability density function (p.d.f.) for X. It is defined so that the area under f above the xaxis and between a and b is equal to P(a X b) . Here, a formula or a graph may be used. Recall that the graph must be close to (or on) the x-axis for x close to . Also remember that, since you don’t yet know how to find the area under a curved graph, you won’t be able to get an exact value for P(a X b) from a p.d.f. unless it’s uniform. FX ( x) P( X x) is the cumulative distribution function (c.d.f.) for X. Again, formulas and graphs may be used. Here, the graph must be close to (or on) the x-axis for x close to - and will approach (or hit) 1 as x approaches +. Two specific types of CONTINUOUS random variables: 1. UNIFORM DISTRIBUTION: You need to identify u to do a problem all values of X (random variable) are equally likely For a Uniform distribution (uniform on [0, u]), E(X) = u/2 the p.d.f. & c.d.f. are (know these): 0 for x 0 0 for x 0 1 f X ( x) u for 0 x u FX ( x) u1 x for 0 x u 0 for x 0 1 for x u FX ( x) P( X x) P(a X b) FX (b) FX (a) 2. EXPONENTIAL DISTRIBUTION: You need to identify to do a problem The p.d.f. & c.d.f. for exponential distributions will be provided (see below). 0 if x 0 f X ( x) 1 x / if 0 x e E(X) = FX ( x) P( X x) P(a X b) FX (b) FX (a) 0 if x 0 FX ( x) x / if 0 x 1 e Topics for Test 2 Math 115A **you will want a scientific calculator for this test RANDOM SAMPLES EXPECTED VALUE of X: E(X) = X n xi P( X xi ) i 1 Often, the best we can do is estimate E(X). In these cases, we find the sample mean or average, x for a sample of size n: x n 1 n xi i 1 x1 x 2 x n E( X ) n SIMULATION Know basic ideas regarding simulation Be sure you understand how the Excel functions Rand, Randbetween, Vlookup, and If work. PROJECT 2 Know the main ideas of project 2 FOR PROJECT 2 QUIZ: Know the main ideas of project 2 Be able to answer questions about Options Know why and how your simulation was built Know what your ratios represent Know what rrf , R, Rm and Rrf represent Know how to find: (also know what they represent!) 1. Cnorm 2. FV 3. PV 4. E(PV) *note: all four of these are “normalized”—they are based on our normalized ratios. Formulas (will be provided- check class website to see a sample)