Difference between revisions of "AP Statistics Curriculum 2007 Usage"
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==E-Book Instructional Use== | ==E-Book Instructional Use== | ||
| − | The SOCR Statistics EBook provides three types of instructional and learning materials | + | The SOCR Statistics EBook provides three types of instructional and learning materials: |
| − | * Datasets and natural driving motivational problems | + | * Datasets and natural driving motivational problems. |
| − | * Mathematical techniques and modeling methodologies | + | * Mathematical techniques and modeling methodologies. |
* Applications with interactive Graphical interfaces for statistical computing, data exploration and IT-blended instruction. | * Applications with interactive Graphical interfaces for statistical computing, data exploration and IT-blended instruction. | ||
| + | * All learning materials and instructional resources of this EBook are freely accessible via the Internet. | ||
| + | * This EBook provides a multi-language support. At the bottom of any chapter/section/page one, there may obtain a machine translation of the page content into a different language. | ||
| − | This EBook is not intended to be | + | This EBook is not intended to be an ''one-book-fits-all-curricula'' textbook. Most instructors that use the SOCR Statistics Ebook may customize some of the content, develop additional applications, discuss course-specific data and expand the materials as appropriate to their curricula. |
| − | The novelty of | + | The novelty of SOCR Statistics EBook is derived from the fact that it successfully integrates mathematical foundations, statistical concepts, interactive experiments, statistical computing resources, simulations, and tools for data analysis and visualization. |
<hr> | <hr> | ||
* SOCR Home page: http://www.socr.ucla.edu | * SOCR Home page: http://www.socr.ucla.edu | ||
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Latest revision as of 13:23, 3 March 2020
General Advance-Placement (AP) Statistics Curriculum - E-Book Learning and Instructional Usage
E-Book Discovery
There are a number of ways to browse, traverse, search and discover materials and content in the SOCR Statistics EBook. The following are the most common means for interacting and searching the SOCR Statistics EBook:
- HTML/Wiki/Text-based Table of Contents (TOC) navigation
- Hyperbolic Interactive Graph Viewer.
- In general, EBook keyword searchers can be done using:
- The SOCR Wiki search (see left control panel in all Wiki pages)
- The Google SOCR-EBook-site-specific web-search. For example, to search for Law of Large Numbers, paste this in the SEARCH field of the main Google browser window (http://www.google.com):
"law of large numbers" site:http://wiki.stat.ucla.edu/socr/ - The Yahoo SOCR-EBook-site-specific web-search. For example, to seach for Law of Large Numbers, paste this in the SEARCH field of the main Yahoo browser window (http://www.yahoo.com):
"law of large numbers" SOCR site:stat.ucla.edu
E-Book Instructional Use
The SOCR Statistics EBook provides three types of instructional and learning materials:
- Datasets and natural driving motivational problems.
- Mathematical techniques and modeling methodologies.
- Applications with interactive Graphical interfaces for statistical computing, data exploration and IT-blended instruction.
- All learning materials and instructional resources of this EBook are freely accessible via the Internet.
- This EBook provides a multi-language support. At the bottom of any chapter/section/page one, there may obtain a machine translation of the page content into a different language.
This EBook is not intended to be an one-book-fits-all-curricula textbook. Most instructors that use the SOCR Statistics Ebook may customize some of the content, develop additional applications, discuss course-specific data and expand the materials as appropriate to their curricula.
The novelty of SOCR Statistics EBook is derived from the fact that it successfully integrates mathematical foundations, statistical concepts, interactive experiments, statistical computing resources, simulations, and tools for data analysis and visualization.
- SOCR Home page: http://www.socr.ucla.edu
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