AP Statistics Curriculum 2007 EDA Shape
From Socr
(Difference between revisions)
(→Activities) |
|||
Line 22: | Line 22: | ||
*The amount of time spent by students on a difficult exam. | *The amount of time spent by students on a difficult exam. | ||
*The grade distribution on a difficult exam. | *The grade distribution on a difficult exam. | ||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
- | |||
===Hands-on activities=== | ===Hands-on activities=== | ||
- | + | * [[SOCR_EduMaterials_Activities_RNG | You can generate data using the SOCR Modeler as shown here]]. | |
- | + | * [[SOCR_EduMaterials_ModelerActivities_MixtureModel_1 | Try fitting multi-model mixture models to samples of 2 Normal distributions with very different centers]] | |
- | * | + | |
- | + | ||
- | + | ||
- | + | ||
- | + | ||
<hr> | <hr> |
Revision as of 01:06, 28 January 2008
Contents |
General Advance-Placement (AP) Statistics Curriculum - Measures of Shape
Definitions
- A distribution is unimodal if it has one mode. Unimodal distributions include:
- Bell shaped distributions (symmetric, Normal)
- Skewed right
- Skewed Left
- Multimodal distributions have two or more than one modes. Examples of multimodal distributions are:
Examples
What seems like a logical choice for the shape of the hot dog calorie data? Try looking at the histogram of the calories for the Hot-dogs dataset.
Activities
Collect data, draw the sample histogram or dot-plot and classify the shape of the distribution accordingly. Also, if unimodal, classify symmetry (symmetric, skewed right or skewed left).
- Data collected on height of randomly sampled college students.
- Data collected on height of randomly sampled female college students.
- The salaries of all persons employed by a large university.
- The amount of time spent by students on a difficult exam.
- The grade distribution on a difficult exam.
Hands-on activities
- You can generate data using the SOCR Modeler as shown here.
- Try fitting multi-model mixture models to samples of 2 Normal distributions with very different centers
- SOCR Home page: http://www.socr.ucla.edu
Translate this page: