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Lec . 38 – Data Through Time / Sequences: Series of (Unfortunate?) Events. Needs for Understanding Series of Events. Example from GSA Bulletin, Aug. 1998. Testing for Randomness – the Poisson Distribution. Testing for Randomness – the Poisson Distribution. - PowerPoint PPT Presentation
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Lec. 38 – Data Through Time / Sequences:Series of (Unfortunate?) Events
Needs for Understanding Series of Events
Example from GSA Bulletin, Aug. 1998
Testing for Randomness – the Poisson Distribution
Testing for Randomness – the Poisson Distribution
Worked Example: Testing for Randomness – Poisson Distribution of Volcanic Activity
Write an .m file, now, which:
1. Compiles the frequency distribution of data binned into 3-m intervals 2. Calculates the “expected” Poisson distribution, if process were random3. Conducts the c2 test with the appropriate null hypothesis.
Step 1: Assemble the observed frequency distrib.
Step 2. Calculate “expected” Poisson distribution
Step 3. Conducts the c2 test with the appropriate null hypothesis
Chi-Squared Test
Testing for Trends
Worked Example: Testing for Trends
Let’s program this!
Worked Example: Testing for Trends
Testing for Uniformity
Testing for Uniformity
Worked Example: Testing for Uniformity
Worked Example: Testing for Uniformity
Caveat on Testing for Uniformity
Testing for Patterns…
Testing for Trends