QUESTION IMAGE
Question
biology
graphing practice
practice problem #1
background: the thickness of the annual rings indicates what type of environmental situation was occurring the time of the trees development. a thin ring usually indicates a rough period of development such as lack of water, forest fires, or insect infestation. on the other hand, a thick ring means a prosperous period of development. use the information from the data table below to create a proper scientific graph and to answer the corresponding questions.
| age of trees (in years) | average thickness of annual rings in forest a (millimeters) | average thickness of annual rings in forest b (millimeters) |
|---|---|---|
| 20 | 24 | 28 |
| 30 | 30 | 35 |
| 35 | 34 | 38 |
| 50 | 41 | 45 |
| 60 | 46 | 51 |
- what is the dependent variable?
- what is the independent variable?
- what was the average thickness of annual rings for 40 - year - old trees in forest a?
- what is it called when you make predictions within given data, such as made in question #3?
- what was the mean thickness of annual rings for all trees found in forest b?
- based on the data shown, what can be concluded about the comparative health of forest a & b?
- what type of relationship (constant, direct, or indirect) exists between the age of trees and the average thickness of the trees rings? explain.
use pencil to make graph!
Step1: Identify dependent variable
The variable that depends on another. Here, average thickness of annual rings depends on tree - age. So, it is the dependent variable.
Step2: Identify independent variable
The variable that is manipulated or changed. Tree - age is being changed to observe the thickness of annual rings, so age of trees is the independent variable.
Step3: Interpolation for 40 - year - old trees in Forest A
Since the data for 40 - year - old trees in Forest A is not given, we can interpolate between 35 and 50 - year - old trees. The thickness for 35 - year - old trees is 41 mm and for 50 - year - old trees is 46 mm. The difference in age is $50 - 35=15$ years and the difference in thickness is $46 - 41 = 5$ mm. For a 5 - year increase from 35 years (to 40 years), the increase in thickness is $\frac{5}{15}\times5=\frac{5}{3}\approx1.67$ mm. So the thickness for 40 - year - old trees is $41+\frac{5}{3}\approx42.67$ mm.
Step4: Define interpolation
Making predictions within given data is called interpolation.
Step5: Calculate mean thickness for Forest B
Sum of thickness values for Forest B: $24 + 28+35 + 38+45+51=221$ mm. There are 6 data - points. Mean thickness $=\frac{221}{6}\approx36.83$ mm.
Step6: Analyze forest health
In general, the average thickness of annual rings in Forest B seems to be higher than in Forest A for the same age groups, indicating that on average, trees in Forest B may be healthier.
Step7: Determine relationship
As the age of trees increases, the average thickness of the tree's rings also increases. So, there is a direct relationship.
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- Average thickness of annual rings
- Age of trees
- Approximately 42.67 mm
- Interpolation
- Approximately 36.83 mm
- Trees in Forest B may be healthier on average as their annual - ring thickness is generally higher for the same age groups.
- Direct relationship. As the age of trees increases, the average thickness of the tree's rings increases.