1. A Short Tour of Probability & Statistics Presented by: Nick Bennett, Grass Roots Consulting & GUTS Josh Thorp, Stigmergic Consulting & GUTS Irene Lee, Santa Fe Institute, GUTS November 6, 2010 Santa Fe Alliance for Science Professional Enrichment Activity

2. Outline Framing the problem (Nick) Review of Statistics (Irene) Randomness (Nick) Dice & Data (Josh) Problem of Points (Nick) Crosswalk of Common Core standards (Irene)

3. What is Statistics? The science of collection, organization and interpertation of data.

4. What do Statisticians do? Data analysis Probability Statistical inference

5. What is a Statistical question? One that anticipates variability. Compare “How old am I?” “How old are the students in my school?”

6. Describing Data Data (plural) are the raw material Data are the numbers we use to interpret reality We will look at a few different ways of describing data. Dot plot Frequency table Stem and Leaf diagram

7. A Sample Data Set 92 Penn State students’ weights MALES: 140, 145, 160, 190, 155, 165, 150, 190, 195, 138, 160, 155, 153, 145, 170, 175, 175, 170, 180, 135, 170, 157, 130, 185, 190, 155, 170, 155, 215, 150, 145, 155, 155, 150, 155,150, 180, 160, 135, 160, 130, 155, 150, 148, 155, 150, 140, 180, 190, 145, 150, 164, 140, 142, 136, 123, 155. FEMALES: 140, 120, 130, 138, 121, 125, 116, 145, 150, 112, 125, 130, 120, 130, 131, 120, 118, 125, 135, 125, 118, 122, 115, 102, 115, 150, 110, 116, 108, 95, 125, 133, 110, 150, 108

8. Dot Plot In a dot plot, one dot per student goes over each student’s reported weight.

9. Frequency table -> Histogram Divide the number line into intervals and count the number of students weights within each interval. The “frequency” is the count in any given interval. The “relative frequency” is the proportion of weights in each interval.

10. Histograms From the frequency table, we can make a bar graph called a histogram. Each bar covers an interval and is centered at the midpoint. The height of the bar corresponds with the number of data points in the interval

11. Stem-and-Leaf Diagram Both summarizes data and shows all data points. The STEM shows intervals (ranges in tens) The LEAVES show data points (ranges in ones) Put the leaves in order Is there evidence of reporting bias?

12. Summary Statistics Central or typical value Spread about that value

13. Measures of Center Mean Median

14. The Mean Given

15. The Median The midpoint of the data If even number of data points, it is the middle If odd number of data points, average the two data points nearest the middle.

16. Why two measures of center?

17. Measures of Spread Interquartile range Standard deviation

18. Interquartile range Put the data in numerical order Divide the data set into two equal groups with the median as the center point. The median of the low group = 1st quartile The median of the high group = 3rd quartile

19. Box & Whiskers plot median 1.5 IQR.

20. Standard deviation Average squared distance = Sample variance Standard deviation =

21. Z-scores, Standardized Scores A student weighing 175 pounds has a z-score of 1.26

22. Summary: Several ways to display data Measures of Center Measures of Spread Standard deviations

23. Statistical inference Use random sampling to draw inferences about a population. Generalizations about a population from a sample are valid only if the sample is representative of that population.

24. Sampling With replacement. Without replacement.