Difference between revisions of "Bachelor Statistics Lecture"

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== Overview of the lecture structure ==
 
== Overview of the lecture structure ==
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This course provides an introduction to statistics on a bachelor level.
  
 
=== Day 1 - [[Why_statistics_matters|Why statistics matters]] ===
 
=== Day 1 - [[Why_statistics_matters|Why statistics matters]] ===
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[[Hypothesis_building#Simple tests |Simple tests]]
 
[[Hypothesis_building#Simple tests |Simple tests]]
  
=== Day 5 - [[Correlations_and_regressions|Correlations]] ===
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=== Day 5 - [[Correlations|Correlations]] ===
 
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[[Correlations and regressions|Correlations on a shoestring]]
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[[Correlations|Correlations on a shoestring]]
 
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[[Correlations_and_regressions#Reading_correlation_plots|Reading correlation plots]]
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[[Correlations#Reading_correlation_plots|Reading correlation plots]]
 
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[[Correlations_and_regressions#Correlative_relations|Correlative relations]]
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[[Correlations#Correlative_relations|Correlative relations]]
  
 
=== Day 6 - Regression ===
 
=== Day 6 - Regression ===
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=== Day 10 - Bias ===
 
=== Day 10 - Bias ===
 
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[[Bias |Bias]]
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[[Bias in statistics]]
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[https://sustainabilitymethods.org/index.php/Bias#Bias_in_analyzing_data Bias in analyzing data]
 
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[https://sustainabilitymethods.org/index.php/Bias#A_world_beyond_Bias.3F A world beyond bias?]
 
  
 
=== Day 11 - [[Statistics and mixed methods|Statistics and mixed methods]] ===
 
=== Day 11 - [[Statistics and mixed methods|Statistics and mixed methods]] ===

Latest revision as of 13:21, 11 January 2021

Overview of the lecture structure

This course provides an introduction to statistics on a bachelor level.

Day 1 - Why statistics matters


The Power of Statistics
Statistics as a part of science
A very short history of statistics
Key concepts of statistics

Day 2 - Data formats and descriptive stats


Continuous data
Ordinal data
Descriptive statistics

Day 3 - Data distribution and Probability


Normal distribution
Non-normal distributions
A matter of Probability

Day 4 - Hypothesis building and simple tests


Hypothesis testing
Validity
Simple tests

Day 5 - Correlations


Correlations on a shoestring
Reading correlation plots
Correlative relations

Day 6 - Regression


Causality
Residuals
Significance in regressions
Is the world linear?
Prediction

Day 7 - Design 1 - Simple Anova OR the lab experiment


The laboratory experiment
How do I compare more than two groups?
Designing studies

Day 8 - Design 2 - Field experiments

Day 9 - Case studies and natural experiments

Day 10 - Bias


Bias in statistics

Day 11 - Statistics and mixed methods

Day 12 - A word on ethics

Day 13 - The Big recap