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Data Collecting, Organizing & Analyzing

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Data Collecting, Organizing & Analyzing. VARIABLES & DATA TABLES. In an experiment there are 2 types of variables INDEPENDENT VARIABLES & DEPENDANT VARIABLES. a VARIABLE is any factor, or thing that can change during your experiment.

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slide3
In an experiment there are 2 types of variables
    • INDEPENDENT VARIABLES

&

    • DEPENDANT VARIABLES
slide5
a CONTROLED experiment only has 1 variable changing, or being tested
  • Sometimes a control trial or group is used to compare experimental data to
independent variable
INDEPENDENTVARIABLE
  • This is the variable we can control in an experiment.
  • Independent variables are set up ahead of time, before you start following your procedures
independent variable1
INDEPENDENTVARIABLE
  • In a “T” table, or data table, this variable is on the left side.
  • On a graph, this variable goes on the X axis
independent variable2
INDEPENDENT VARIABLE
  • Examples of common Independent variables:
    • Time-measure every 30 seconds, every day, etc.
    • Distance-measure every 0.5 meters, every 10.0 cm
    • Amount-add 2.0 grams each trial
independent variable3
INDEPENDENTVARIABLE
  • Your book calls the independent variable the MANIPULATED variable, because we manipulate or set it to our specifications
dependent variable
DEPENDENTVARIABLE
  • This is the variable we have to observe in an experiment.
  • Dependent variables are measured during the experiment, after you start following your procedures
dependent variable1
DEPENDENTVARIABLE
  • In a “T” table, or data table, this variable is on the right side.
  • On a graph, this variable goes on the Y axis
dependent variable2
DEPENDENT VARIABLE
  • Examples of common Dependent variables:
    • Temperature-record the temperature
    • Mass-find the mass of each object or substance
    • Amount-count the resulting number of items
dependent variable3
DEPENDENTVARIABLE
  • Your book calls the dependent variable the RESPONDING variable, because it responds to the procedure you are following. We can’t chose what the data will be.
7 rules of graphing
7 RULES OF GRAPHING
  • Follow these simple rules for GREAT GRAPHS
rule 1
RULE # 1.
  • 1. Always draw neat lines with a straight edge or ruler
rule 2
RULE # 2.
  • Make your graph 1/2 page or 1 full page in size.
  • Small graphs are too difficult to read patterns or results of your experiment.
rule 3
RULE # 3.
  • Label the x-axis (goes across the bottom of your graph)
  • Label the y-axis ( the line that goes up & down on the left side of your graph)
rule 4
RULE # 4.
  • Label three places on your graph.
  • 1. TITLE the graph descriptively
  • WHAT DOES YOUR GRAPH SHOW US?
rule 41
RULE # 4.
  • 2. label the x-axis with the independent variable
    • this is the variable you pre-set before you began collecting data, on the left side of a “T” table
    • common independent variables can be time, or distances
rule 42
RULE # 4.
  • 3. label the y-axis with the dependent variable
    • this is the variable you measure when you begin collecting data, on the right side of a “T” table
    • common dependent variables can be mass, or temperature
rule 5
RULE # 5.
  • Number the x and y axis with a regular numerical sequence or pattern starting with 0 to space out your data so it fills the entire graph
    • examples: 0, 5, 10, 15 . . .
    • 0, 2, 4, 6, . ., 0, 0.5, 1.0, 1.5, 2.0
rule 6
RULE # 6.
  • Number the x and y axis on the lines of the graph, not the spaces between the lines
rule 7
RULE # 7.
  • If your graph shows more than one trial of data, or has more than 1 line, USE A KEY
  • A key can be different colored lines, lines with different textures or patterns.
the end

The End

Good Luck and Happy Data Collecting!

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