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Statistics with Stiles

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Statistics with Stiles Intuition vs. Empiricism Envelope Demo Explained Movie scenes explain the stats problem. Let s Test This Statistical Strategy! – PowerPoint PPT presentation

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Title: Statistics with Stiles


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
Lets Test This Statistical Strategy!
  • Class Wide Data Gathering Demo

7
Descriptive vs. Inferential
  • Descriptive
  • 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 lt .05)
  • 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?

10
(No Transcript)
11
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 -1.0 (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
Scatter Plot D
Scatter Plot E
Scatter Plot F
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