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Free flashcards to ace your CFA - Quantitative Methods
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Quantitative Methods
20 flashcards
Variance measures how far each data point deviates from the mean, providing a measure of data dispersion.
The range is the difference between the highest and lowest values in a data set.
Descriptive statistics summarizes and organizes data using numerical and graphical methods.
The mean is the average value calculated by summing all data points and dividing by the number of data points.
The median is the middle value in an ordered data set. If there are two middle values, it is the average of those values.
The mode is the value or values that appear most frequently in a data set.
Standard deviation is the square root of variance. It measures the typical distance data points lie from the mean.
A probability distribution describes all possible values of a random variable and the likelihood of each value occurring.
The normal distribution is a symmetric, bell-shaped probability distribution that is widely used in statistics.
The central limit theorem states that the sampling distribution of means approaches a normal distribution as the sample size increases.
A hypothesis test evaluates sample data to determine whether to reject or fail to reject a claim about a population parameter.
The p-value is the probability of obtaining a test statistic at least as extreme as the one observed, assuming the null hypothesis is true.
Regression analysis models the relationship between a dependent variable and one or more independent variables.
The time value of money principle states that money available today is worth more than the same amount in the future due to its earning potential.
Compounding is the process of reinvesting earnings to generate additional earnings over time.
The future value is the value of a current asset at a future date based on the asset's growth rate or interest earned.
The present value is the current worth of a future amount given a specified rate of return.
An annuity is a series of equal cash flows occurring at regular intervals.
The perpetuity formula calculates the present value of an infinite stream of equal cash flows.
Sensitivity analysis examines how different values of an independent variable affect a dependent variable.