1. Statistics with Stiles

2. Hello Favorite Class!
Write down the number of pennies I can drop into the cup at the front of the room without spilling any water.

3. Intuition vs. Empiricism
Intuition- understanding without apparent effort, quick and ready insight seemingly independent of previous experiences or empirical knowledge. (gut feeling)
Empiricism emphasizes the role of experience and evidence .

4. Would anyone like to volunteer to win some money?

5. Envelope Demo Explained
Movie scenes explain the stats problem.

6. Let’s Test This Statistical Strategy!
Class Wide Data Gathering Demo

7. Descriptive vs. Inferential
Summarizes a set of data, makes it easy to interpret.
%, averages
r = correlation coefficient
Standard Deviation
Inferential
Allows us to make decisions or reach conclusions about data.
Statistically Significant or Chance? (p < .05)
The probability of an event occurring by chance is less than 5%.
Statistically Significant: How likely a given result occurred by chance alone. Since we can rarely study an entire population, we study a sample of the population and by inference apply that result to the entire population.
p<.05" means that the probability of an event occurring by chance is less than 5%.

8. Measures of Central Tendency
Mode- most frequent
Median- middle most
Mean- average of set scores
Frequency distributions-(organized list)
Can be misleading, know which measure of average is being used.
Positive/Negative Skew ?

9. Measures of Variability
Range- difference in high/low
Standard Deviation- square root of variance (measure of variance from the mean)
Packed together or dispersed?

11. Using Standard Deviation to your Advantage
Using Standard Deviation to your Advantage! Top 10 Rushing Leaders (2000)

12. Ranked Order of Rushers
Who is the most consistent?
Davis
Who is the most erratic?
Dillon

13. Correlations (Co-relation)
r = (strong negative correlation) ↑↓
r = +1.0 (strong positive correlation)
↑↑ or ↓↓
0 = No Correlation
Correlation coefficients help us determine the direction and strength of a relationship.
Correlation does NOT imply causation!!
Correlations may be used to predict!

14. Identify each of the scatter plots. r = -.99 r = -.7 r = 0 r = -.3 r = .5 r = .9
Scatter Plot A
Scatter Plot B
Scatter Plot C
A = 0
B = -.3
C = .5
D = -.7
E = .9
F= -.99
Scatter Plot D
Scatter Plot E
Scatter Plot F