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Question
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 | 45 | 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 is the average thickness of annual rings. It varies based on the age of trees.
Step2: Identify independent variable
The independent variable is the age of trees as it is the variable being manipulated or changed.
Step3: Find thickness for 40 - year - old trees in Forest A
There is no 40 - year data point. But we can assume a linear trend between 35 and 50 years. The difference in age is \(50 - 35=15\) years and the difference in thickness is \(41 - 34 = 7\) mm. The rate of change is \(\frac{7}{15}\) mm per year. From 35 years to 40 years (a 5 - year increase), the increase in thickness is \(\frac{7}{15}\times5=\frac{7}{3}\approx2.33\) mm. So the thickness for 40 - year - old trees in Forest A is approximately \(34+\frac{7}{3}=34 + 2.33 = 36.33\) mm.
Step4: Define prediction within data
This is called interpolation.
Step5: Calculate mean for Forest B
The data points for Forest B are 24, 28, 35, 38, 45, 51. The sum is \(24 + 28+35 + 38+45+51=221\). There are 6 data points. The mean is \(\frac{221}{6}\approx36.83\) mm.
Step6: Conclude forest health
On average, the annual rings in Forest B are thicker than those in Forest A at each age interval, indicating that, on average, trees in Forest B have had a more prosperous development period.
Step7: Determine relationship
There is a direct relationship. As the age of the trees increases, the average thickness of the tree's rings also generally increases.
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- Average thickness of annual rings
- Age of trees
- Approximately 36.33 mm
- Interpolation
- Approximately 36.83 mm
- Trees in Forest B generally had a more prosperous development period as their annual - ring thickness is on average greater than that of Forest A.
- Direct relationship. As the age of trees increases, the average thickness of the tree's rings generally increases.