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# Data Collecting, Organizing & Analyzing - PowerPoint PPT Presentation

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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Presentation Transcript

### VARIABLES & DATA TABLES

• a VARIABLE is any factor, or thing that can change during your experiment

• a CONTROLED experiment only has 1 variable changing, or being tested

• 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

• 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

• 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

• Follow these simple rules for GREAT GRAPHS

• 1. Always draw neat lines with a straight edge or ruler

• 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.

• 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)

• Label three places on your graph.

• 1. TITLE the graph descriptively

• WHAT DOES YOUR GRAPH SHOW US?

• 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

• 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

• 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

• Number the x and y axis on the lines of the graph, not the spaces between the lines

• 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!