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A set of vocabulary flashcards covering financial mathematics, calculus for business, and introductory probability and statistics based on practice problems.
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Residential Natural Gas Bill Equation
The monthly charge calculation expressed as y=4.66+0.4803x, where 4.66 is the base service charge and 0.4803 is the energy charge per hundred cubic feet x.
Profit Function P(x)
The expression representing total earnings after costs are deducted, calculated as P(x)=R(x)−C(x). For example, if R(x)=500x and C(x)=100x+4000, then P(x)=400x−4000.
Break-even Point
The production level x at which total revenue equals total cost, or the profit function P(x)=0. In Problem 2, this occurs at 10 computers.
Monthly Compounded Balance Function S(t)
The formula used to calculate a fund balance over t months with a monthly interest rate, expressed as S(t)=300,000×(1+120.1)t for a 10% annual rate.
Ordinary Annuity
A series of equal payments made at the end of each period, such as a repeating payment of $1,000 at the end of every 6-month period.
Annuity Due
A series of equal payments made at the beginning of each period, such as monthly contributions to a college fund starting at a child's birth.
Average Cost Cˉ
The cost per unit of production, defined by the formula Cˉ=xC, where C is the total cost and x is the production level.
Marginal Revenue R′
The rate of change of total revenue with respect to the number of units sold, represented as R′=dxdR.
Marginal Profit P′(x) Meaning
The derivative of the profit function representing the approximate change in profit from selling the (x+1)st unit. If P′(200)=50, the sale of the 201st unit increases profit by $50.
Revenue Formula
The total income generated from sales, calculated as R=Quantity×Price or R=x×p.
Yearly Rate of Flow f(t)
A continuous stream function, such as f(t)=10,000e0.05t, used to determine the total income over a period like the first 4 years of operation.
Probability of At Least One Event
The likelihood that at least one of two events occurs, calculated using the formula P(S or E)=P(S)+P(E)−P(S and E). Example: 0.80+0.70−0.65=0.85.
Conditional Probability P(A∣B)
The probability of event A occurring given that event B has already occurred, calculated as P(A∣B)=P(B)P(A and B).
Expected Value μ
The mean or long-run average of a probability distribution, calculated as ∑x×P(x). In Problem 20, the expected number of cars is μ=2.
Variance σ2
A statistical measure of the variability or spread of a probability distribution around the mean μ. In Problem 20, the variance is σ2=1.4.
Standard Normal Distribution
A normal distribution with a mean of 0 and a standard deviation of 1, where areas under the curve represent probabilities associated with z-scores.
Normal Distribution Mean and Standard Deviation
The central value (μ) and the measure of variation (σ) of a bell-shaped data set. Example: A placement test with μ=36 minutes and σ=7 minutes.
Probability Without Replacement
The calculation of probability for successive events where the total pool decreases with each selection, such as picking 2 faulty shirts from 100 where only 5 are faulty: (1005)×(994)=4951.