INTRODUCTION:
MATERIALS:
Paper
Pencil
Ruler
Scissors
2 Containers
PROCEDURE:
1. Cut 20 slips of paper, each approximately 5 cm x 5 cm.
2. Number 10 of the slips A through J and put them in a container.
3. Label the remaining 10 slips 1 to 10 and put them in a second container.
4. The grid below represents your study area. It is a field measuring 10 m on each side. Each of the grid segments is 1 m x 1 m. Each black dot represents a single sunflower plant.
5. Randomly remove one slip from each container. Record the number-letter combination you drew in the DATA TABLE. Find the grid segment that matches that combination and count the number of sunflower plants in that grid segment. Record the number of sunflowers in the DATA TABLE.
Return each slip to the appropriate container.
6. Repeat step 5 until you have data for 10 different grid segments. These 10 grid segments represent your sample.
DATA TABLE Random sample data | ||
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Grid Coordinates | ||
Letter | Number | Number of Sunflowers in grid segment |
CALCULATIONS:
7. Find the total number of sunflower plants for the 10-segment sample.
Divide the number above by 10 to determine the average number of sunflower plants per square meter in the sample. You didn't have any parts of plants, but for this statistical average, round to the nearest 0.1 plants
Multiply the average number of sunflower plants per square meter by 100 (the total number of grid segments in the field) to find the total number of plants in the field. This is your population estimate.
8. Count all the sunflower plants actually shown in the field.
9. Now find the percentage error in your estimate. To calculate percentage error find the difference between the actual count and the estimated count. A difference is always positive, so subtract the smaller of the two numbers from the larger.
Now divide the difference by the actual count and multiply by 100.
Difference Actual count |
x100=% Error |
ANALYSIS:
10. Why did you draw paper slips, rather than just choosing 10 grid segments?
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11. What changes could you make to the procedure to reduce your percentage error?
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