Tips for Solving Truss Forces Without Finding Support Reactions

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In summary, quick statistics are easily and quickly analyzed data used for decision-making and gaining a general understanding. They differ from regular statistics in the depth of analysis, and can be obtained from various sources. While they can be used as a starting point for decision-making, their accuracy may vary and should be evaluated critically.
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eurekameh
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http://imageshack.us/photo/my-images/267/unledghj.png/

There are short links at A, B, and C. They're asking for the forces in the members of the truss. I've solved this problem, but only by also finding the support reactions at the short links. Is it possible to find the forces in the members of the truss without solving for these reactions?
 
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Anyone?
 

1. What is the definition of "quick statistics"?

Quick statistics refers to a set of data or information that can be easily and quickly analyzed, interpreted, and communicated. This type of statistics is often used for decision-making or to gain a general understanding of a topic, rather than for in-depth analysis.

2. How is quick statistics different from regular statistics?

The main difference between quick statistics and regular statistics is the depth of analysis. Quick statistics are usually used for a broad overview or general understanding, while regular statistics involve more detailed and rigorous analysis.

3. How can I obtain quick statistics?

Quick statistics can be obtained from a variety of sources, such as government agencies, research institutions, or online databases. It is important to ensure that the source is reliable and the data is valid.

4. Can quick statistics be used as a basis for making decisions?

Yes, quick statistics can be used as a starting point for decision-making. However, it is important to note that quick statistics may not provide a complete picture and should be supplemented with more in-depth analysis for more accurate decision-making.

5. How accurate are quick statistics?

The accuracy of quick statistics can vary depending on the source and the methods used to collect and analyze the data. It is important to critically evaluate the source and methodology before using quick statistics to make decisions.

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