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Decks in this class (34)
M1 - Epistemology
What is epistemology 1,
3 aspects of epistemology 2,
History of navigation 3
9
cards
M1 - Empiricism
Empiricism 1,
Why is empiricism important 2,
Kepler quotes about empiricism 3
6
cards
M1 - Induction vc Deduction
Induction 1,
Example of induction 1 2,
Example of induction 2 3
11
cards
M1 - Parsimony/Occam's razor
Occams razor 1,
Parsimony 2,
Example of parsimony 3
9
cards
M1 - Falsifiability
Falsifiability 1,
What is falsifiability the practi...,
What has falsifiability given ris...
7
cards
M1 - Confirmation Bias
Confirmation bias 1,
Example of confirmation bias 2,
Theory dependence of observation 3
5
cards
M1 - Cultural Knowledge
Cultural observation knowledge 1,
Aboriginal cultural knowledge ind...,
Aboriginal cultural knowledge bac...
12
cards
M1 - Paradigm Shift
Paradigm shifts 1,
Example of paradigm shift 2,
Scientific paradigm 3
3
cards
M1 - Influences on scientific thinking
Economic influences 1,
Political influences 2,
Examples of political influences 3
5
cards
M1 - Ethics
Ethical research 1,
Ethical frameworks 2,
Ethical frameworks autonomy 3
23
cards
M2 - Literature search
Reason for an initial literature ...,
Literature review 2,
What should it consist of 3
3
cards
M2 - Research question
A research question should be 1,
Types of questions factual 2,
Types of questions comparative 3
8
cards
M2 - Hypothesis
Hypothesis 1,
Sign of good research question 2,
Signs of good hypothesis 3
6
cards
M2 - Evaluating resources
The craap test 1,
Validity 2,
Reliability 3
5
cards
M2 - Research Proposal
Detailed literature review 1,
What does a research proposal ide...,
Final scientific hypothesis 3
8
cards
M2 - Error
Error 1,
Random errors 2,
Systematic errors 3
4
cards
M2 - Error in uncertainty and curves of best fit
Uncertainty 1,
How is uncertainty represented 2,
Mass g uncertainty 3
18
cards
M2 - Quantitative vc Qualitative research
Qualitative categorical 1,
Quantitative 2,
Qualitative data types 3
28
cards
M2 - Large Data Sets
Large data sets 1,
Remote sensing 2,
Streamed data 3
3
cards
M2 - Data collection
Ordinal data 1,
Nominal data 2,
Discrete data 3
5
cards
M2 - Impact of making data sets public
Reasons for making data publicall...,
What is bad about improperly cura...,
Blank 3
3
cards
M3 - Data, Evidence and Analysis Methods
Data 1,
Evidence 2,
Typology 3
9
cards
M3 - Graphical representations
Line graphs 1,
Bar graphs 2,
Histograms 3
10
cards
M3 - Relevance, accuracy, validity and limitations of data and its analysis
Relevance 1,
Accuracy 2,
Validity 3
9
cards
M3 - descriptive stats
Mean 1,
Sample size 2,
Median 3
11
cards
M3 - Performance Measures (accuracy, precision, error, bias, data cleansing)
Performance measures 1,
Accuracy 2,
How is accuracy measured 3
11
cards
processing data for analysis
Methods of data processing 1,
Why is processing of data importa...,
Types of processed data 3
11
cards
M3 - Confidence tests - Hypothesis testing
Confidence in data 1,
Hypothesis testing 2,
Significance level 3
9
cards
M3 - t-test
One sample 1,
Two sample 2,
Two sample paired 3
10
cards
M3 - F-Test and ANOVA
F test 1,
Examples of when an f test might ...,
Hypotheses 3
11
cards
M3 - Chi-Squared test
The chi squared test of independe...,
Hypothesis chi squared 2,
Assumptions chi squared 3
4
cards
M3 - Correlation vs causation
Correlation 1,
Correlation coefficient the basics 2,
Causation 3
5
cards
M3 - Decision making and Impact of new data
Benefits of collective decision m...,
Benefits of individual decision m...,
Impact of data mechanisms of dise...
4
cards
M3 - modelling
Predictive models 1,
Advantages of predictive modelling 2,
Limitations of predictive modelli...
11
cards
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