1. Graphs Scatterplot Histogram Combination graphs Circle graph
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2. Amount of energy drink (ml)
Step 5: Analyze the Results
How To Do A Graph
Draw an x-axis (horizontal) and a y-axis (vertical). The axes represent different variables:
The x-axis represents the independent variable.
The y-axis represents the dependent variable.
Choose the scale for each of the axes (evenly spaced intervals that include all of your data)
Plot your data on the graph.
Label the axes with the appropriate units.
Give your graph a title. A good title should explain the relationship between the variables.
Organize data (tables and graphs) and analyze results. Explains the effect of the variable.
Amount of energy drink (ml) 10 20 40 80
100
Time awake (h)
6.0
8.2
12.5
20.2
26.6
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3. TYPES OF GRAPHS Line: show relationships; for continuous data
Bar: compare data; for discrete data.
Combination: two data set with the same independent variable
Histogram: frequency of occurrence of a data set
Scatterplot: show positive, negative or no correlation (dependence) between the variables
Circle: parts of a whole (percentages).

5. Amount of energy drink (ml)
Practice!
A student wanted to test how the consumption of energy drink affect the time a subject can be awake.
Amount of energy drink (ml) 10 20 40 80
100
Time awake (h)
6.0
8.2
12.5
20.2
26.6
1. Is there any control group in this data?
2. What should it be?
3. Why would it be important to have?

6. Step 5: Analyze the Results
Real Case: The Deformed frogs in Minnesota
Group
UV light exposure (days)
Deformed frogs 1 2 5 3 10 8 4 20 22
Organize data (tables and graphs) and analyze results. Explains the effect of the variable.
Conclusions 20 15 10 5 30 25
Effect of UV light exposure have over the frogs deformities
Is the hypothesis supported?
What are the implications of the result?
What things should be tested to improve the results?
Data shows that the length of the UV exposure has an effect on the development of frog deformities
Deformed frogs
UV light exposure (days)
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7. TYPES OF GRAPHS Line: show relationships; for continuous data
Bar: compare data; for discrete data.
Combination: two data set with the same independent variable
Histogram: frequency of occurrence of a data set
Scatterplot: show positive, negative or no correlation (dependence) between the variables
Circle: parts of a whole (percentages).