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I have a sheet which is meant to 'help' me that my teachers supplied me with (all i need to do is fill in the questions). But the thing is, i think that most of the questions are the same, can you help me distinguish between them. They are:
-Overall comment on the accuracy of my results
-overall omment on the reliability of my results
-overall comment on the suitability of the technique

in my opinion, they all link together and are practically the same thing!!!!

2007-02-22 07:54:31 · 4 answers · asked by Ryujin 3 in Science & Mathematics Biology

what do you mean by 'Reliability--reliability is grounded in the hard science of statistics'

2007-02-22 08:49:31 · update #1

4 answers

OK to comment on your accuracy you want to comment on how close your results are to the actual answer. You may know what this should be or you could be commenting on how accurate a particular piece of equiptment may be.
The reliability of your results is how sure you are of this result, did you do the same thing more than once? Do the results match each other? (This is also called reproducibility)
The suitability- Does the technique you use answer the question you set out to investigate? Is it accurate enough for the use you need to put it to? etc

You are right they all do link together but they are still seperate individual points to address in an overall discussion of your results.

2007-02-22 10:23:52 · answer #1 · answered by Ellie 4 · 0 0

No they are linked but not the same

Accuracy--refers to the closeness of a measured value to a standard or known value

Reliability--reliability is grounded in the hard science of statistics.

Suitability--Discussion of Results...you may want to summarize your results, and make a comment regarding the suitability of this technique for the analysis you performed.

You should state your conclusion at some point in this section.

2007-02-22 16:27:53 · answer #2 · answered by Diamond in the Rough 6 · 0 0

The evaluation questions you are discussing are all related, but the exact differences between them are important. A good metaphor for understanding this would be the game of darts. If your hits were all over the place, your technique would be neither accurate or reliable. If your hits were all in the same section of the dartboard, but not centered, they would be reliable, but still not accurate. If they were all bulls-eye, they would be both reliable and accurate. The technique that would give you results that were both reliable and accurate would therefore be more suitable than any other.

2007-02-22 17:56:49 · answer #3 · answered by datamonkey0031 2 · 0 1

The first one requires just a comment like 'I believe my results to be accurate because...' and why you believe that like because your graph is a good shape or the method you used was accurate.
The second one is about the trend in the results, whether they are what you expected and whether there were any anomalies
The third is about what you did that could be improved and I promise there will always be something!

2007-02-23 12:32:15 · answer #4 · answered by sam_sam0501 1 · 0 0

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