GUTS Youth Leadership Corps

1. GUTS Youth Leadership Corps Things you need to know

2. Emphasis in GUTS Clubs • Programming Concepts using Starlogo TNG • Complex Adaptive Systems • Development of Research Skills • Data Acquisition • Data Analysis • Data Interpretation • Presentation Skills

3. Expectations of GUTS Mentors • Knowledge Expectations • Starlogo TNG • Complex Adaptive Systems • Data Acquisition • Data Analysis • Club Expectations • Help the teachers • Help the facilitators • Teach some curriculum • Teach some activities • Coach students with programming • Coach students with projects

4. Starlogo TNG Quiz Take the quiz See what you remember!

5. Starlogo TNG • Build Tasmanian Devils • Review Programming Concepts • Setup • Procedures • Variables • Conditional Statements • Input • Output

6. Complex Adaptive Systems Review • Made up of agents in an environment • The agents • Have characteristics – size, color, age • Follow simple rules - aging • There is randomness associated with their behavior • Two types of interactions occur • Agent/Agent interactions – collisions, hatching • Agent/Environment interactions – agents movement, agents change the environment or environment changes the agents

7. Complex Adaptive Systems Review • The system is • Leaderless - no agent is coordinating the actions of other agents • Self-organizing – simple rules result in the organization of the agents or the environment as the result of agents following simple rules without external control or a leader. • Emergent patterns - Patterns that form even though the agents were not “told” to make a pattern.

8. Complex Adaptive Systems TemplateCASTNEW ASSESSMENT TOOL

9. CAS CAST

10. Tasmanian Devils CAST Activity Fill in the CAST for the Tasmanian Devil Model …

11. Tasmanian Devils CAST

12. Data Acquisition • Data collection is the systematic recording of information while changing Variables (a quantity that may assume any given value or set of values). • Collect the output (i.e. number of healthy agents, number of infected agents, time…) while changing the variables (number of devils, number initially infected) of the model

13. Data AcquisitionWhy do we gather data? • To answer questions • To develop understanding • To validate experiments

14. Data AcquisitionHow do we gather data using StarlogoTNG? • Collect the data by hand • Create a line graph in Starlogo TNG and extract the data to Excel • Create a bar graph in Starlogo TNG and extract the data to Excel • Create a table in Stalogo TNG and extract the data to Excel

15. Data AcquisitionHow Much Data? • Variable Sweeping – experimental considerations: • Number of variables • Range of variables • What changes things?

16. Thought Experiment • If you have two variables of interest in your model • You decide that each variable needs to be examined at the low, medium and high end of its ranges • How many DIFFERENT TYPES of experiments do you need to perform

17. Data AcquisitionHow Much Data?

18. Thought Experiment Continued • What if you needed to evaluated each parameter at 5 different values? • Does that mean you need to run your model only that number of times? • NO – Scatter in your data

19. Data AcquisitionHow Much Data? • Number of Runs at the same parameter values – experimental considerations: • Scatter in data • How many data points do you need to determine if your average will be enough? • Minimum 5 runs

20. Data AcquisitionHow Much Data?

21. Data AnalysisWhat should we do with the data? • Display – usually graph it to make it easier to see trends • Analysis – use math skills to uncover patterns and trends in data sets • Interpretation - involves possible explanation those patterns and trends.

22. Data AnalysisDisplaying Data • Two common ways to display data • Tables • Graphs • Reasons to Graphically Display Data • Makes your data visible • Helps find obvious patterns • Does the data makes sense? • Are your assumptions correct? • Did you collect enough data?

23. Bar Charts – preferred snacks Data Analysis: Displaying Data – Types of PlotsAll plots from http://www.statcan.ca • Pie Charts – music preference Pets purchased at pet store

24. Data Analysis: Displaying Data – Types of PlotsAll plots from http://www.statcan.ca • XY Graphs – cell phone use http://www.statcan.ca Scatter Plots http://en.wikipedia.org/wiki/Scatterplot

25. Data AnalysisDisplaying Data • Exercise • Use Tasmanian Devils Model to extract data into Excel • Plot Data in Excel

26. Statistics help you Summarize data Describe data Analyze data Data AnalysisStatistics Now it is easy to summarize, describe and analyze the data…. The blue and the pink data have the Same AVERAGE value (mean) but the blue data is “NOISIER” (greater standard deviation). Therefore… Hard to describe the difference Between the two data sets

27. Data AnalysisStatistics • Two Areas we will examine • Statistics that describe the “middle” of the data (Data Central Tendency) • Median • Mode • Mean or average • Statistics the describe the “scatter” of the data (Data Spread) • Range • Standard Deviation

28. Statistics – Measurements of Central TendencyMean (Average), Median, and Mode • Definitions • Mean (Average) – Sum divided by the number of data points • Median – Middle data point when arranged from highest to lowest • Mode – Most frequent value • Use data set to calculate Mean (Average) Median, Mode, Max and Min • Select Cell where you want the value of the function to appear • Select Insert then Function • Select Statistical • Select function wanted (AVERAGE, MEDIAN, or MODE) then hit OK • Select Range of data you want to analyze by clicking on range symbol and highlighting range. Hit enter or OK LET’S DO IT

29. Definitions Range = maximum - minimum Variance = measures noise of the data around the mean value. Standard Deviation (S) is the square root of the variance. Most commonly used measure of spread (same units as the data). Another reason to use S: ~68% of the data are in the interval Mean – S to Mean + S ~95% of the data are in the interval Mean – 2 S to Mean + 2 S ~99% of the data are in the interval Mean – 3 S to Mean + 3 S EXCEL does it for you!!! Statistics – Measurements of Data SpreadRange, Variance and Standard Deviation LET’S DO IT