1. Collecting & Displaying Data

2. Data Tables
Numerical (quantitative) data organized in rows and columns
The specific independent variables are listed
The number of trials are listed
Blanks are left for the data (dependent variable) to be filled in

3. Title Describing the Data
Trial
Variable 1
Variable 2
Variable 3 1 2 3 4 5
Average

4. Analyzing the data Reduce the data
Do something to make the amount of data smaller
Central tendencies
Mean (average)
Median
Mode
Range
frequency

5. Analyzing the data Graph the data
Lets us see trends, patterns, relationships, comparisons
Bar graphs
Let us compare data
Line graphs
Lets us see trends or changes

6. This shows a comparison of types and amount of trash on a beach.
Bar graph
This shows a comparison of types and amount of trash on a beach.

7. Line graph
This shows how the grade point average has been changing over several years. The trend is an increase in GPA.

8. Scatter plot Positive Correlation
An increase in the variable on the X-axis is associated with an increase in the variable on the Y-axis

9. Scatter plot Negative Correlation
An increase in the variable on the X-axis is associated with an decrease in the variable on the Y-axis

10. Scatter plot No Correlation
Random data points – there is no association between the variables