Class Notes for GGR270H1 at University of Toronto St. George (UTSG)

UTSGGGR270H1 Michael J. WidenerFall

GGR270H1 Lecture Notes - Lecture 1: Autocorrelation, Sug, Lake Huron

OC25188093 Page
13 Sep 2018
0
Hypothesis : propositions whose truth or falsities can be tested. Models : tools that simplify the world so we can understand relationships. Laws : emp
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UTSGGGR270H1Michael WidenerFall

GGR270H1 Lecture Notes - Lecture 2: Variance, Weighted Arithmetic Mean, Euclidean Distance

OC4895682 Page
7 Sep 2016
5
Data may be classified as nominal, ordinal, interval, or ratio: nominal data: observ. placed into a set of mutually exclusive & collectively exhausted
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UTSGGGR270H1Michael WidenerFall

GGR270H1 Lecture Notes - Lecture 3: Binomial Theorem, Poisson Distribution, Sample Space

OC4895681 Page
7 Sep 2016
4
Sample space: of an experiment is the set of all possible outcomes of that experiment. Random variable: the set of values is a random variable. Probabi
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UTSGGGR270H1Michael WidenerFall

GGR270H1 Lecture Notes - Lecture 1: Autocorrelation, Spatial Analysis, Modifiable Areal Unit Problem

OC4895682 Page
7 Sep 2016
6
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UTSGGGR270H1Damian DupuyFall

GGR270H1 Lecture Notes - Standard Deviation, Descriptive Statistics

OC645922 Page
15 Oct 2013
35
When talking about correlation, do not write that the two points cause on another, its not true! Describing data: graphs, simple measures one variable,
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UTSGGGR270H1Damian DupuyFall

GGR270H1 Lecture Notes - Kelvin, Collectively Exhaustive Events, Univariate

OC645926 Page
15 Oct 2013
26
Characteristic of the population that changes or varies overtime. Looking at census tracts: ex. looking at two variables, looking at education and inco
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UTSGGGR270H1Michael WidenerFall

GGR270H1 Lecture 9: lecture 9 note fall 2017

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19 Jan 2018
0
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UTSGGGR270H1Damian DupuyFall

GGR270H1 Lecture Notes - Census Tract, Standard Deviation, Skewness

OC645923 Page
15 Oct 2013
37
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