Be sure to type the names of the two organisms in the appropriate boxes.
Each bean color represents a type of food source. You MUST have 20 of each color! You will set your timer for 1 minute.
1 minute represents the length of the season
During the 1 minute season, you will use your tool (representing your first organism) to pick up as many beans as possible.
At the end of the season, sort your beans and type the number of the bean color in the appropriate box for that season. For example, during Season 1, organism 1 was able to gather 3 black beans, 4, pink beans, and 5 white beans.
Repeat this process for the second organism for Season 1; and then start over and repeat the process again for both organisms for Season 2.
At the end of 4 minutes you should have all 6 boxes filled out, in addition to the names of your two organisms.
Can you do it for me please
Sure, I can help you with that. Just let me know the names of the two organisms you would like to use for this simulation.
Coral reefs and Rain Forest ecosystem
Got it! Let's imagine that Coral reefs are represented by a pair of tweezers and Rain Forest ecosystem is represented by a pair of chopsticks. We will use beans of different colors to represent different food sources.
Season 1: Coral reefs using tweezers
Black beans - 3
Pink beans - 4
White beans - 5
Season 1: Rain Forest ecosystem using chopsticks
Black beans - 2
Pink beans - 6
White beans - 4
Season 2: Coral reefs using tweezers
Black beans - 5
Pink beans - 3
White beans - 2
Season 2: Rain Forest ecosystem using chopsticks
Black beans - 1
Pink beans - 7
White beans - 2
I hope this helps. Let me know if you need any further assistance.
A. Which type of data have you collected (discrete or continuous)?
How do you know?
The data collected in this scenario is discrete data. Discrete data consists of whole numbers and represents distinct values with gaps between them. In this case, the number of beans picked by each organism in each season is a count of whole numbers (e.g. 2 black beans, 4 pink beans), making it discrete data. Each bean count is a distinct value separated by specific intervals, indicating that the data is not continuous.
B. You will create a bar graph below.
C. Be sure to label your axes based on the independent variable (x axis) and the dependent variable (Y axis)
Here is a sample bar graph for the data collected in the Coral Reef and Rain Forest ecosystem simulation:
```
Number of Beans Gathered by Organisms in Coral Reefs and Rain Forest Ecosystems
Season 1
Organism Black Pink White
Coral Reefs 3 4 5
Rain Forest 2 6 4
Season 2
Organism Black Pink White
Coral Reefs 5 3 2
Rain Forest 1 7 2
```
On the x-axis (horizontal), we have the different seasons (Season 1 and Season 2), representing the independent variable. On the y-axis (vertical), we have the number of beans gathered, representing the dependent variable.
Please let me know if you'd like me to assist you with creating a visual representation of the bar graph.
How do I put it on the graph
To create a bar graph based on the data provided, you can follow these steps:
1. Start by creating a grid on a sheet of graph paper or using a graphing software on your computer. The x-axis (horizontal) will represent the different seasons (Season 1 and Season 2), and the y-axis (vertical) will represent the number of beans gathered.
2. Draw bars for each organism (Coral Reefs and Rain Forest) in each season, representing the number of black, pink, and white beans gathered. Each bar should have a different color to differentiate the bean colors.
3. Label the x-axis with "Season 1" and "Season 2" to represent the independent variable (seasons).
4. Label the y-axis with "Number of Beans Gathered" to represent the dependent variable.
5. Add a legend to the graph to indicate which color represents each type of bean (black, pink, white) and which organism (Coral Reefs, Rain Forest).
6. Include a title for the graph, such as "Number of Beans Gathered by Coral Reefs and Rain Forest Ecosystems in Season 1 and Season 2."
By following these steps, you can create a clear and informative bar graph to visually represent the data collected in the simulation. If you need further assistance or have specific software in mind for creating a graph, feel free to let me know!