# AP Statistics Curriculum 2007 EDA Statistics

(Difference between revisions)
 Revision as of 01:31, 28 January 2008 (view source)IvoDinov (Talk | contribs)← Older edit Revision as of 05:31, 28 January 2008 (view source)IvoDinov (Talk | contribs) m Newer edit → Line 8: Line 8: ===Example=== ===Example=== - Suppose we are interested in the meancalory or mean sodium content of hot dogs. It would be difficult to obtain measures of calory and salt content for ALL hot-dogs. However, we can use the [[SOCR_012708_ID_Data_HotDogs | Hot dogs datafile]] that we discussed uearlier. This data contains a sample of 54 major hot dog brands. Some of the interesting '''population papameters''' are the mean-calory, mean-sodium, variance-of-calory between hot-dogs and variance-of-sodium between hot-dogs. These measures may be estimated from the sample using the corresponding '''sample-statistics''' (sample-averages and sample-variances). + Suppose we are interested in the mean calorie or mean sodium content of hot dogs. It would be difficult to obtain measures of calorie and salt content for ALL hot-dogs. However, we can use the [[SOCR_012708_ID_Data_HotDogs | Hot dogs data file]] that we discussed earlier. This data contains a sample of 54 major hot dog brands. Some of the interesting '''population parameters''' are the calorie-mean, sodium-mean, calorie-variance and sodium-variance between hot-dogs. These measures may be estimated from the sample using the corresponding '''sample-statistics''' (sample-averages and sample-variances). * Using [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and the [[SOCR_EduMaterials_ChartsActivities | Charts activities]] you can produce a number of interesting graphical summaries for [[SOCR_012708_ID_Data_HotDogs | this hotdogs dataset]]. * Using [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and the [[SOCR_EduMaterials_ChartsActivities | Charts activities]] you can produce a number of interesting graphical summaries for [[SOCR_012708_ID_Data_HotDogs | this hotdogs dataset]].

## General Advance-Placement (AP) Statistics Curriculum - Statistics

### Definitions

Variables can be summarized using statistics.

• A statistic is a numerical measure (or a function) that describes a characteristic of the sample.
• A parameter is a numerical measure that describes a characteristic of the population. We use statistics to estimate parameters.
• We use sample-statistics to estimate/understand population parameters or characteristics!

### Example

Suppose we are interested in the mean calorie or mean sodium content of hot dogs. It would be difficult to obtain measures of calorie and salt content for ALL hot-dogs. However, we can use the Hot dogs data file that we discussed earlier. This data contains a sample of 54 major hot dog brands. Some of the interesting population parameters are the calorie-mean, sodium-mean, calorie-variance and sodium-variance between hot-dogs. These measures may be estimated from the sample using the corresponding sample-statistics (sample-averages and sample-variances).

• The dot-plot of the Calory content of all hotdogs in shown in the image below. Notice the summary statistics of mean and standard deviation below the graph!
• The dot-plot of the Sodium content of all hotdogs in shown in the image below. Notice the summary statistics of mean and standard deviation below the graph!