Quantitative Methods Flashcards
Annuity
A finite number of equal cash flows occurring at fixed intervals of equal length over a defined period of time (e.g., monthly payments of $100 for three years)
Lump Sum
A single cash flow. Lump sum cash flows are one-time events and therefore are not recurring
Present Value
The value today of a cash flow to be received or paid in the future. On a timeline, present values occur before(to the left of( their relevant cash flows
Future Value
The value in the future of a cash flowed received or paid today. On a timeline, future values occur after(to the right of) their relevant cash flows
Perpetuity
A series of equal cash flows occurring at fixed intervals of equal length forever
Discount Rate and Compounding Rate
The rates of interest used to find the present and future values
Compounding or Compounding Values
When interest is earned or paid on interest
Stated or Nominal Rate
the interest rate that is displayed on a loan agreement before any adjustments for compounding market factors.
Effective Interest Rates
The concept of compounding is associated with the related concept of effective interest rates
Geometric Mean Return
A compound annual growth rate for an investment. The geometric mean return takes into account the effects of compounding. Smaller or equal to the arithmetic mean
Discounting
Finding a present value by deducting interest from future value
Ordinary Annuity
When cash flows are at the end of the period. It represents the typical cash flow pattern for loans, such as auto, home, furniture, fixtures, and business
Annuity Due
Equal to the value of an ordinary annuity plus one period’s interest
How to find the present value of an annuity due
Discount all future values and sum them up
Perpetuity
A series of equal cash flows occurring at the same interval forever
Present value of a perpetuity
Equals the periodic cash amount divided by the discount interest rate
Population
The collection of all possible individuals, objects, measurements, or other items (e.g., the population of the US is all people who call the US their home country)
Sample
A portion or subset of a population that is used to estimate characteristics of the population (i.e., make inferences about)
Variable
An unknown quantity or measurement that can have different values
Qualitative
A variable that measures attributes. These could include gender, religious preference, eye color, types of running shoe preferred, and place of birth
Quantitative
A variable that is expressed numerically. These could include the average number of children in a typical household, the average height of American females, the percentage of people in the population with false teeth, or the average number of computers sold daily. Quantitative variables can be categorized as discrete or continuous
Discrete
If the variable can only take on a whole number value from 1 to 10, it would be considered discrete
Continuous
The variable can assume an infinite number of possible values
Frequency Distribution
The tally of observations falling in equally spaced intervals. The frequency distribution shows how the data are scattered
Frequency Distribution Histogram
A graph of a frequency distribution. A histogram illustrates how the data are scattered
Mean
Just another word for average, or the center of the data
Arithmetic mean
The most common measure of central tendency. sometimes the summation symbol E
Central Tendency
A statistical term that refers to the typical or central value of a probability distribution. Measures of central tendency are often called averages. The most common measures of central tendency are the mean, median, and mode
Median
The middle observation of the ranked data. The median finds the center of the distribution by number of observations. There are equal number of observations above and below the median, regardless of their values
Difference between the Mean and Median
The median finds the center of the distribution by number of observations. There are equal number of observations above and below the median, regardless of their values.
The mean actually adds all the observations together and divides by the number of observations to find the mathematical center.
Mode
The observation that appears most often. The mode is the most common number that appears in your set of data. To find the mode count how often each number appears and the number that appears the most times is the mode.The mean, median, and the mode are all measures of central tendency
Measures of Dispersion
Positive real numbers that describe how spread out a set of data is, or how homogeneous or heterogeneous it is. The value of a measure of dispersion is zero if all the data points in a set are the same, but increases as the data becomes more variable
Range
The distance between the lowest and highest observed values.
Mean Absolute Deviation (MAD)
A measure of the dispersion of the sampe observations around the center of the distribution. It measures the average deviation from the mathematical mean.
Deviation
A deviation is measured as the distance from the mean to each observation
With a mean of 68.7”, the deviations for our sample are:
70.0” - 68.7” = 1.3”
71.0” - 68.7” = 2.3”
73.0” - 68.7” = 4.3”
66.0” - 68.7” = -2.7”
62.0” - 68.7” = -6.7”
70.0” - 68.7” = 1.3”
Variance and Standard Deviation
Another way to measure the dispersion of a sample. Both variance and standard deviation are measures of dispersion of the data around the mean of the distribution.
Variance
Variance is the average of the squared differences between each data point and the mean