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Data Collecting, Organizing & AnalyzingPowerPoint Presentation

Data Collecting, Organizing & Analyzing

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- In an experiment there are 2 types of variables
- INDEPENDENT VARIABLES
&

- DEPENDANT VARIABLES

- INDEPENDENT VARIABLES

- 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

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.

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.

Good Luck and Happy Data Collecting!

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