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Let A = accumulated balance after Y years. P = starting principal. AP R = annual percentage rate (as a decimal) n = number of compounding periods per year.
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Let A = accumulated balance after Y years P = starting principal AP R = annual percentage rate (as a decimal) n = number of compounding periods per year Y = number of years (may be a fraction) P M T = regular payment (deposit) amount a = inflation rate (a decimal) i = interest rate (a decimal)
Simple Interest Formula0: AA == PP (1 +∗ (1 + AP Rn AP R )nY ∗ Y ) Compound Interest Formula:
Annual Percentage Yield: APY AP Y = (1 + AP Rn )n^ − 1
Formula for Continuous Compounding:A = P ∗ eAP R∗Y
Savings Plan Formula: A = P M T ∗ [(1+^
AP Rn )nY (^) −1] AP Rn
Total and Annual Return: totalreturn = A−PP
annualreturn =
P
Current Yield of a Bond: current yield = annual interest paymentcurrent price of bond
Loan Payment Formula: P M T = P ∗
AP Rn » 1 −(1+ AP Rn )(−nY^ )
The CPI Formula CP I CP IXY = price priceXY
The Present Value of a principal P, Y years into the future, r=APR, a=annual inflation: A = P ∗ [ 1+ 1+ra ]Y
Real Growth g: g = r 1+−aa
Real Growth over Y years: g(Y ) = [1 + r 1+−aa ]Y^ − 1
The Tax Table: single m(joint) m(separate) head household 10% 1 - 7,550 1-15,100 1 - 7,550 1-10, 15% 7,551 - 30,650 15,101 - 61,300 7,551 - 30,650 10,751 - 41, 25% 30,651 - 74,200 61,301 - 123,700 30,651 - 61,850 41,051 - 106, 28% 74,201 - 154,800 123,701 - 188,450 61,851 - 94,225 106,001 - 171, 33% 154,801 - 336,550 188,451 - 336,550 94,226 - 168,275 171,651 - 336, 35% 336,551+ 336,551+ 168,276+ 336,551+
The mean of x 1 , x 2 , ...xn is μ = x^1 +x^2 + n ...+xn.
The variance s^2 of x 1 , x 2 , ...xn is s^2 = (x^1 −μ)
(^2) +(x 2 −μ) (^2) +...+(xn−μ) 2 n− 1. The standard deviation s is the square root of the variance s^2.
Quartiles of Normal Distributions: Q 1 = mean −. 67 ∗ s Q 3 = mean +. 67 ∗ s The 68 − 95 − 99 .7 Rule for normal distributions: 68% of the observations fall within 1 standard deviation of the mean. 95% of the observations fall within 2 standard deviations of the mean. 99 .7% of the observations fall within 3 standard deviations of the mean.
Given data (x 1 , y 1 ), (x 2 , y 2 ), ... (xn, yn), with means μx, μy and standard deviations sx, sy. The correlation between variables x and y is
r = (^) (n−1)^1 sxsy [(x 1 − μx)(y 1 − μy) + (x 2 − μx)(y 2 − μy) + ... + (xn − μx)(yn − μy)].
The least squares regression line is y = ax + b. where a = r ∗ (^) ssyx and b = μy − aμx.
For a simple random sample of size n,
the sample proportion of successes is p′^ = count of successes in the sample n The mean of the sampling distribution is p
and the standard deviation is
p(1−p) n. The 68 − 95 − 99 .7 Rule applies here aswell.