Lecture 4 Flashcards
How to establish intervals?
(max(value) - min (value)) / number of classes
Location
Tells us something about the average or typical individual (i.e. where the observations are centered)
Spread
Tells us how variable the measurements are from individual to individual - how widely scattered the observations are around the center
Arithmetic mean
An algorithm, process or sets of rules to be followed in calculations - sum of all the observations in a sample divided by n, the number of observations
Population mean
Mean of all possible samples from a population
Standard deviation
Commonly used measure of the spread of a distribution. It measures how far from the mean the observations typically are. The standard deviation is large if most observations are far from the mean, and it is small if most measurements lie close to the mean.
Median
Middle measures of a set of observations (distributions)
- Odd number of observations: Median is the middle value
- Even number of observations: Median calculated = [Y(n/2) + Y(n/2+1)]/2
Symmetric distributions [Mean - Median]
- Uniform: Mean equals the median
- Bell-shaped: Mean equals the median
Bimodal [Mean - Median]
Median smaller than the mean
Skewed-left [Mean - Median]
Mean smaller than median
Skewed-right [Mean - Median]
Mean greater than the median