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| Prediction of what would happen if the experimental treatment had no effect |
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A simple statement that defines what you think the outcome of your experiment will be
*Your hypothesis must have a testable answer! |
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| The tiny differences that will test your hypothesis |
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| Variable that you intentionally change |
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| Difference between the two parts of the experiment that happenss when the independent variable is changed |
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| Variables that are kept the same from trial to trial |
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| Sample kept in natural, unchanged state |
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| Group used to measure changes in your dependent variable |
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| ***Why is it important to repeat your experiment several times? |
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Definition
| This is important for insuring accuracy. This helps to make your results convincing to anyone who is evaluating your work or to anyone who might with to repeat your experiment. |
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| Can you prove a hypothesis? |
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| No, your results can merely support your hypothesis or reject your hypothesis. |
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| What should a conclusion include? |
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Definition
Generally, it's an analysis of your results and should include:
- Trends/discrepancies
- Possible sources of error
- Explanation and analysis (item-by-item) of results
- Meaning to experiment as a whole
- Does the experiment support or not support the hypothesis?
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| What should a proper graph look like/include? |
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Definition
Look at page 113 and 114 in your lab manuals!
- Axis Labels (Your dependent variable is on your ordinate; your independent variable is on your abcissa)
- Graph title (make it specific!)
- [image]
- Do NOT forget to CONNECT the dots!
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| How would you prepare a 10-fold serial dilution? |
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