# AP Statistics Curriculum 2007 EDA Shape

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 Revision as of 00:59, 28 January 2008 (view source)IvoDinov (Talk | contribs)← Older edit Revision as of 01:02, 28 January 2008 (view source)IvoDinov (Talk | contribs) (→Activities)Newer edit → Line 16: Line 16: ===Activities=== ===Activities=== - Classify and draw a sketch each of the following scenarios with respect to mode.  Also, if unimodal, classify symmetry (symmetric, skewed right or skewed left). + 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 college students. - Data collected on height of randomly sampled female college students. + *Data collected on height of randomly sampled female college students. - The salaries of all persons employed by a large university. + *The salaries of all persons employed by a large university. - 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. - + ===Model Validation=== ===Model Validation===

## 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.

### Model Validation

Checking/affirming underlying assumptions.

• TBD

• TBD

### Examples

Computer simulations and real observed data.

• TBD

### Hands-on activities

Step-by-step practice problems.

• TBD

• TBD