1. Class ID 13126537 Password: genes
Class ID Password: genes
Typed copy must also be turned in with attached authenticity report
Typed copy should follow assignment template
Vocabulary should be paraphrased not cut and pasted.
Create an ongoing MLA work cited for your project

2. Purpose: Showing patterns & trends
Graphing Your Data
Purpose: Showing patterns & trends

3. Types of data (information)
Variables---what you measure in an experiment
Dependent variable
Measured variable
Unpredictable change: we don’t know how it will change until we do the experiment
Plotted on Y-axis
Independent variable
Manipulated variable
Predictable change: it only changes because we chose how it would change
Plotted on X-axis
The effect of _____________ on _____________
INDEPENDENT
DEPENDENT

4. How to Create Bar and Line Graphs

5. Identify the Axes Y- Axis X- Axis Dependent Variable
(what is observed and measured)
X- Axis
Independent Variable
(what is changed by the scientist)

6. DRY MIX
One way to remember which data goes on which axis is the acronym DRY MIX.
D.R.Y M.I.X.
D- Dependent M-Manipulated
R- Responding I- Independent
Y- Y-axis X- X-axis

7. Title Write an appropriate title for the graph at the top of the graph
The title should contain both the independent and dependent variables.
Example: the Effect of Procrastination on The Stress Level of students

8. Scale
The min and max numbers used on each axis (Does not have to begin at zero)
The min and max numbers used should be a little lower than the lowest value (unless zero) and a little higher than the highest value.
Chose a scale that will take up most of the graph paper
This allows you to have a smaller range which emphasizes the comparisons/trends in the data.

9. The Best Scale
Graph #1
The Y-axis scale is from but the largest value is only 35.
Graph #2
The Y-axis scale is now from 0-40.
---2nd Graph does a better job emphasizing the comparisons between coins.

10. Steps to Find Scale
Find the range of the data for the Y Axis (67-32= 35)
Count number of lines/boxes on axes (40)
Divide the range number by the number of boxes (35÷40=0.875) round to 1 to make numbering easier
Each box will be worth 1 degree Repeat for the X Axis (6/40=0.15)
Each box is worth less than one days , 6 box =1 days
Each 6th line should be labeled with 1 day

11. But How Do I Round? When doing your scale you often have round up
You can never round down
Make sure to round to next number that can give you an easy interval at some point
Practice with these #’s
.17, .23, .70, .85, 1.3, 1.8
.20, .25, .75, 1.0, 1.5, 2.0

12. Mathematical Calculation of Range (Nasty vs. Nice numbers)
Using “Calculator Play” to justify changing your range
EXAMPLE
Data set says 85 is the top value for data and 0 is minimum
85/40= (nasty number)
So… round up
90/40 =2.25 (nicer but not great)
100/40= 2.5 (Nice Number)
Each box is equal to 2.5, or 4 is equal to 10 (interval)

14. Intervals
Intervals are the gaps in numbering that visually represent the data
The interval is the amount between one value and the next.
Intervals are specific to the data and will change based on the data
Look at your minimum & maximum values you set up for BOTH AXIS
Decide on an appropriate interval for the scale you have chosen.
It is highly recommended to use a common number for an interval such as 2, 5, 10, 25, 100, etc.

15. Intervals The interval for the Y-axis is 8
The X-axis does not have numerical data and does not need an interval.

16. Labels
Both axes need labels so we know exactly what the independent and dependent variables are.
The dependent variable must be specific and include the units used to measure the data (such as “number of drops”).
DV label
IV label

17. Labels
DV label
IV label

18. TAILS T.A.I.L.S. Scale Title Axis
Another handy acronym to help you remember everything you need to create your graphs…..
T.A.I.L.S.
Title
Axis
Interval
Labels
Scale

19. TAILS Title: Includes both variables
Axis: IV on X-axis and DV on Y-axis
Interval: The interval (4) is appropriate for this scale.
Label: Both axes are labeled.
Scale: Min and max values are appropriate.

20. Making pictures out of data
Graphs
line graphs
graphing data that shows continuous change
bar graphs (or histograms)
graphing data that is in disconnected groups
How’s a critter to choose?

21. Bar Graphs Bar graphs are descriptive.
Used in graphing data that is in disconnected groups
They compare groups of data such as amounts and categories.
They help us make generalizations and see differences in the data.

22. Which drink do you like best?
number
Coke 1
Pepsi
Water 4
Iced tea
Gatorade 3
Which drink do you like best? 6
Bar graph! 5 4
number of students 3 2
Nope… No quite!! 1
Coke RB
Pepsi
water
tea
Gatorade
type of drink

23. Line Graphs Line graphs show a relationship between the two variables.
They show how/if the IV affects the DV.
Graphing data that shows continuous change
Many times, the IV plotted on the X-axis is time.
They are useful for showing trends in data and for making predictions.
Can be used to estimate missing data based on the line.
Can be used to compare multiple sets of data, using different lines within the same graph

24. Example

25. elevation (feet above sea level)
How does elevation affect temperature?
Line graph!
elevation (feet above sea level)
temp.
(°C) 30
500 25
1000 20
1500 15
2000 10
2500 5 30 25 20 18
temperature 15 10
1200 ft? 5
500
1000
1200
1500
2000
2500
elevation

26. Multiple Sets of Data
When graphing multiple data sets on the graph, use a distinctive color of pen, or style of line, for each data set.
Place an example of the color or line style off to the side of the graph (Key)
Label it with the name of the information being displayed. For example: Seedlings