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Data Analysis - Coggle Diagram
Data Analysis
Sampling
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We don't have to collect same no. of participants between population groups because we have a technique called weighting
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Step 1
Descriptive Statics:
1) Central Tendency: Mean, Median, and Mode (everybody is mode when there is no duplicate)
2) S.D.
3)
Step 2
Types of Scale:
1) Nominal: Have no hierarchy (Gender, Ethnicity)
2) Ordinal: Difference between values is no the same (e.g. ranking: the difference between 1st and 2nd as well the difference between 2nd and 3rd)
3) Interval: have no absolute zero and Difference between values is the same
4) Scale: have absolute zero and Difference between values is the same
Step 3
Hypothesis Testing
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Results:
1) p-value smaller that 0.05 and we reject the H0: Correct Rejection OR Type I Error
2) p-value larger that 0.05 and we accept HO: Correct Acceptance OR Type I Error
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Step 4
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Step 5
Correlation
cannot imply causation
While A and B show correlation: We don't know A or B is the cause or result; May be C is the cause of A and B
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