Data Analysis & Graphs - The Diigo Meta page

• 19 Aug 12
  

  numpon

  data graphs analysis

• 04 Aug 12
  

  A Gardner

  "s it complete, or did you forget something?
  Do you need to collect more data?
  Did you make any mistakes?"

  ScienceBuddies data analysis graphs charts checklist

• 29 Apr 12
  

  Barb Tharp

  data graphs science analysis

• 23 Apr 12
  

  Terry Currie

  Data and graphing

  data graphs

• 06 Jan 12
  

  Martin Herrmann

  lab report data analysis

• 15 Dec 11
  

  Brenda Klockenga

  science project fair data charts graphs

• 15 Oct 11
  

  Jennifer Anderson
• 02 Oct 11
  

  education experiments scientific data

• 11 Sep 11
  

  Felix Telegin
• 25 Jul 11
  

  data analysis graphs

• 08 Jun 11
  

  Lacey Huffling
• 25 May 11
  

  Richard Saucedo
  • independent variable on the x-axis
  • independent variable on the x-axis
  • independent variable on the x-axis
  • Review your data. Try to look at the results of your experiment with a  critical eye. Ask yourself these questions
  • • Did you make any mistakes?
      
      
  • average for the different trials of your experiment
  • include the units of measurement
  • independent variable on the x-axis
  • the x-axis
  • independent variable on the x-axis
  • independent variable on the x-axis
  • independent variable on the
  • independent variable on the x-axis
  • charts and graphs to help you analyze the data and patterns.
  • perform calculations on your raw data  

    in order to get the  results from which you will generate a conclusion.
  • performed multiple trials of your experiment

  14 more annotations...

• 24 May 11
  

  monica giera
  • Review
  • Do you need to collect more data?
  • Make sure to clearly label all tables and graphs. And, include the  units of measurement (volts, inches, grams, etc
  • • Place your independent variable on the x-axis of your graph and the  dependent variable on the y-axis.

  • Take some time to carefully review all of the data you have collected from  your experiment. Use charts and graphs to help you analyze the data and  patterns. Did you get the results you had expected? What did you find out from  your experiment?

     

    Really think about what
  • you have discovered and use your data to help you explain why you think certain  things happened.
  • Often, you will need to perform calculations on your raw data in order to get  the results from which you will generate a conclusion
  • A bar graph might be appropriate for comparing different trials or  different experimental groups. It also may be a good choice if your independent  variable is not numerical

  • A time-series plot can be used if your dependent variable is numerical  and your independent variable is time. (In Microsoft Excel, the "line graph"  chart type generates a time series. By default, Excel simply puts a count on the  x-axis. To generate a time series plot with your choice of x-axis units, make a  separate data column that contains those units next to your dependent variable.  Then choose the "XY (scatter)" chart type, with a sub-type that draws a  line.)
  • variable. Then choose the "XY (scatter)" chart type, with a sub-type that draws  a line.)

  8 more annotations...

• 21 Mar 11
  

  wendy_lin

  analyse data

• 13 Oct 10
  

  Windy May
• 29 Nov 09
  

  Carl Davis

  science fair

• 24 Mar 08
  

  Peter Herrmann

  charts

• 08 Jan 08
  

  Rebecca Johnson

  excel tutorial graphing

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