1. Organizing Data
A graph is a pictorial representation of information recorded in a data table. It is used to show a relationship between two or more factors.

2. Types of Graphs
Line graphs are best for displaying data that changes. It best shows the relationship between two variables.
A variable is anything that can change in an experiment.
Line graphs are made with the x-axis showing the independent variable (manipulated variable) and the y-axis showing the dependent variable (responding variable).
DRY MIX

3. Types of Graphs (2)
Bar graphs are best for comparing data for several individual items or events. Bar graphs use a series of columns to display data.

4. Types of Graphs (3)
Pie charts are best for displaying data that are parts of a whole.

5. Collecting Data & Creating a Graph
Type of Shoe
# of Students in Class Wearing Shoe
Tennis Shoes 7
Boat/Dock Shoes 5
Flats 4
Sandals 2

6. Now, it’s your turn!
Step 1: Decide on a particular set of data you want to collect from the class. Examples: eye color, shoe size, favorite ice cream
Step 2: Create a table.
Step 3: Roam around the classroom and fill in your table. You should collect data from EVERY person.
Step 4: Create your graph. Be sure to label your axes, title and choose the right type of graph to show your data!
Step 5: Have fun and Be Creative!
Step 6: Turn in both table and graph!

8. Density Density is a physical property of a substance.
Physical properties can be observed or measured without changing a substance.
Other physical properties of substances include shape, color, odor, and texture.

9. Calculating Density
Density is calculated by dividing an object’s mass by its volume.
Density = mass/volume or
D = m/v

10. Low and High Density
A substance with a low density is referred to as being “light”. An example is Styrofoam.
A substance with a high density is referred to as being “heavy”. An example is iron.
Density of a liquid is reported in grams per milliliter (g/ml) and a solid is reported in units of grams per cubic centimeter (g/cm3).