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Data Collecting, Organizing &amp; Analyzing

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# Data Collecting, Organizing Analyzing - PowerPoint PPT Presentation

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

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### VARIABLES & DATA TABLES

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

&

• DEPENDANT VARIABLES
• Sometimes a control trial or group is used to compare experimental data to
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
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 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
INDEPENDENTVARIABLE
• Your book calls the independent variable the MANIPULATED variable, because we manipulate or set it to our specifications
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
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 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
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.

### GRAPHING NOTES

7 RULES OF GRAPHING
• Follow these simple rules for GREAT GRAPHS
RULE # 1.
• 1. Always draw neat lines with a straight edge or ruler
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.
• 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.
• Label three places on your graph.
• 1. TITLE the graph descriptively
• WHAT DOES YOUR GRAPH SHOW US?
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 # 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.
• 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.
• Number the x and y axis on the lines of the graph, not the spaces between the lines
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

Good Luck and Happy Data Collecting!