UNIVARIATE ANALYSIS Flashcards
Also known as Measure of Center
Measure of Central Tendency
Measure of finding the mean, median or mode of the dataset
Measure of Central Tendency
Measure of finding the kth element
Measure of Position
Measure of how the data is distributed about the mean.
Measure of Variation
Measure of the degree of symmetry of a distribution
Measure of Shape
Most widely used parameter of describing a ratio data.
The Mean
Different types of means
arithmetic,
trimmed,
geometric,
harmonic
Quadratic or Root Mean Square (RMS)
is the only measure of central tendency where the sum of the deviations of each value from the mean is zero.
Arithmetic Mean
It is calculated by summing the values
Arithmetic Mean
set of numbers with corresponding weights
Weighted Mean
Used in factors being multiplied to another quantity
Geometric Mean
Used for the average of the time rates or averages of velocity, speed and alike
Harmonic Mean
Computed by “trimming away
Trimmed Mean
Useful for certain quantities
Quadratic Mean
The midpoint of the values
The Median
The value of the observation
The Mode
Used when you want to find the most occurring/frequent score
The Mode
Measures of Location
Quartiles
Deciles
Percentiles
Dividing the dataset into 4 groups.
Quartiles
Dividing the dataset into 10 groups
Deciles
Dividing the dataset into 100 groups
Percentiles
Measures of Variation
Range
Mean Absolute Deviation (MAD
Variance
Standard Deviation (SD)
Coefficient of Variation (CV)
difference between the largest and smallest number in the set
Range
The average of unsigned deviations from mean
Mean Absolute Deviation
the positive square root of population
Standard Deviation (SD)
The average of square deviations
Variance
Measures of Shape
Skewness
Kurtosis
Degree of asymmetry
Skewness
The degree of peakedness
Kurtosis
