I'm trying to make sense of what I'm supposed to do I have to write two statements on the conclusion on my pendulum prediction.   If your predication was supposed or no and what, you conclude about the variable that was tested?   explain possible sources of errors of things that could have been affected your experiment?  how you used the scientific method and the last question is to suggest two things that could be done to improve your experiment?    can you please explain what these questions mean? I have to put them in statements but not sure what they mean. I'll include what my teacher said.  Here is my advice to distinguish between the dependent and independent variables. The dependent variable depends on the independent variable.  So, set up two statements comparing your two variables, such as kick distance and leg strength.  Does leg strength depend on kick distance? Or does kick distance depend on leg strength?  One of those statements will make more sense than the other.  It may help to repeat the statements (2-3x) and really think about whether each makes sense.  The statement that makes sense tells you which variable is dependent, that is the dependent variable.  In this case, kick distance is dependent (depends) on leg strength. * alternatively, you may use determine, but then it is the independent variable that determines the dependent variable (ex. Does kick distance determine leg strength or does leg strength determine kick distance?)   If your changed condition (variable) is a category – such as in the sample table – use a bar graph. If your changed condition (variable) is numeric, such as 1, 5, 30, 100, use an x-y scatter (line) graph.  Plot the points, then draw a trendline (line of best fit) that shows the overall pattern or trend of your data.  Do not simply connect the dots.   Consider plotting the average outcome for each level of the condition/variable (accounts for variation and there are fewer points to plot).

Nutrition Now
8th Edition
ISBN:9781337415408
Author:Brown
Publisher:Brown
Chapter3: Ways Of Knowing About Nutrition
Section: Chapter Questions
Problem 17RQ
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I'm trying to make sense of what I'm supposed to do I have to write two statements on the conclusion on my pendulum prediction.

 

If your predication was supposed or no and what, you conclude about the variable that was tested?  

explain possible sources of errors of things that could have been affected your experiment? 

how you used the scientific method and the last question is to suggest two things that could be done to improve your experiment? 

 

can you please explain what these questions mean? I have to put them in statements but not sure what they mean. I'll include what my teacher said. 

  • Here is my advice to distinguish between the dependent and independent variables. The dependent variable depends on the independent variable.  So, set up two statements comparing your two variables, such as kick distance and leg strength.  Does leg strength depend on kick distance? Or does kick distance depend on leg strength?  One of those statements will make more sense than the other.  It may help to repeat the statements (2-3x) and really think about whether each makes sense.  The statement that makes sense tells you which variable is dependent, that is the dependent variable.  In this case, kick distance is dependent (depends) on leg strength.
  • * alternatively, you may use determine, but then it is the independent variable that determines the dependent variable (ex. Does kick distance determine leg strength or does leg strength determine kick distance?)

 

  • If your changed condition (variable) is a category – such as in the sample table – use a bar graph. If your changed condition (variable) is numeric, such as 1, 5, 30, 100, use an x-y scatter (line) graph.  Plot the points, then draw a trendline (line of best fit) that shows the overall pattern or trend of your data.  Do not simply connect the dots.

 

  • Consider plotting the average outcome for each level of the condition/variable (accounts for variation and there are fewer points to plot).

 

 

 

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