# AP Statistics Curriculum 2007 EDA Shape

(Difference between revisions)
 Revision as of 15:40, 14 March 2008 (view source)IvoDinov (Talk | contribs)← Older edit Current revision as of 21:08, 4 June 2010 (view source)Jenny (Talk | contribs) (→Definitions) (2 intermediate revisions not shown) Line 5: Line 5: ** Bell shaped distributions (symmetric, Normal) ** Bell shaped distributions (symmetric, Normal) ** Skewed right or skewed left ** Skewed right or skewed left - ** We can use the [[AP_Statistics_Curriculum_2007_EDA_Center | mean and median]] to help interpret the shape of a distribution. For a unimodal distribution we have these properties: + ** We can use the [[AP_Statistics_Curriculum_2007_EDA_Center | mean and median]] to help interpret the shape of a distribution. For an unimodal distribution we have these properties: *** If '''mean = median''', then the distribution is symmetric *** If '''mean = median''', then the distribution is symmetric *** If '''mean > median''', then the distribution is right skewed *** If '''mean > median''', then the distribution is right skewed *** If '''mean < median''', then the distribution is left skewed *** If '''mean < median''', then the distribution is left skewed - * '''Multimodal''' distributions have two or more than one modes. Examples of multimodal distributions are: + * '''Multimodal''' distributions have two or more modes. Examples of multimodal distributions are: ** [http://en.wikipedia.org/wiki/U-quadratic_distribution U Quadratic] ** [http://en.wikipedia.org/wiki/U-quadratic_distribution U Quadratic] ** [[SOCR_EduMaterials_ModelerActivities_MixtureModel_1 | Mixture Distributions]] ** [[SOCR_EduMaterials_ModelerActivities_MixtureModel_1 | Mixture Distributions]] Line 33: Line 33: * [[SOCR_EduMaterials_Activities_RNG | You can generate data using the SOCR Modeler as shown here]]. * [[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]] * [[SOCR_EduMaterials_ModelerActivities_MixtureModel_1 | Try fitting multi-model mixture models to samples of 2 Normal distributions with very different centers]] + + ===[[EBook_Problems_EDA_Shape | Problems]]===

## 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 or skewed left
• We can use the mean and median to help interpret the shape of a distribution. For an unimodal distribution we have these properties:
• If mean = median, then the distribution is symmetric
• If mean > median, then the distribution is right skewed
• If mean < median, then the distribution is left skewed
• Multimodal distributions have two or more 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.