Department

GeographyCourse Code

GGR270H1Professor

Damian DupuyStudy Guide

FinalThis

**preview**shows page 1. to view the full**5 pages of the document.**GGR 270 â Lecture 4 â October 6, 2010

Normal Distribution â Z Scores

îStandard scores are referred to as Z Scores

îIndicate how many Standard Deviations separate a particular value from the mean

îZ Scores can be positive or negative depending if they are > or < the mean

îZ score of the mean is O and the Standard Deviation is positive or negative

îTable of normal values provides probability info on a standardized scale

îBut, we can also calculate Z scores

îFormula involves comparing values to the mean value, and dividing by the Standard

Deviation

Expressed as:

îResult is interpreted as the ânumber of standard deviations an observation lays above

or below the meanâ.

Skewness

îMeasures the degree of symmetry in a frequency distribution

îDetermines how evenly the values are distributed either side of the mean

Expressed as:

www.notesolution.com

###### You're Reading a Preview

Unlock to view full version

Only page 1 are available for preview. Some parts have been intentionally blurred.

Coefficient of variation

îAllows for comparison of variability of spatial samples

îTests which sample has the greatest variability

îStandard deviation or variance are absolute measures, so they are influenced by the

size of the values in the dataset

îTo allow a comparison of variation across 2 or more geographic samples, can use a

relative measure of dispersion called coefficient of variation

Expressed as:

Describing Bivariate data

Graphs

îComparative pie-charts

îStacked bar chart

Correlation

îAllows us to observe statistically the relationship between 2 variables

îLooking at the strength and direction of the relationship between 2 variables

îMost common graphing technique is the scatter plot

Direction of the Bivariate relationship

www.notesolution.com

###### You're Reading a Preview

Unlock to view full version