Use the Lincoln Index to monitor this mountain gorilla population over time: Gorilla hunting is illegal in some regions and carefully controlled in others, though there is a high demand for illegal bush-meat. Deduce between which two years illegal hunters were active in the forest. Explain the long recovery time for the population
Use the Lincoln Index to monitor this mountain gorilla population over time: Gorilla hunting is illegal in some regions and carefully controlled in others, though there is a high demand for illegal bush-meat. Deduce between which two years illegal hunters were active in the forest. Explain the long recovery time for the population
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Use the Lincoln Index to monitor this mountain gorilla population over time:
Gorilla hunting is illegal in some regions and carefully controlled in others, though there is a high
- Deduce between which two years illegal hunters were active in the forest.
- Explain the long recovery time for the population

Transcribed Image Text:The table illustrates numerical data spanning from 2003 to 2008 for three variables, \( n_1 \), \( n_2 \), and \( n_m \), along with an empty row labeled \( P \).
| Year | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 |
|------|------|------|------|------|------|------|
| \( n_1 \) | 23 | 26 | 27 | 16 | 18 | 17 |
| \( n_2 \) | 25 | 30 | 35 | 18 | 19 | 24 |
| \( n_m \) | 18 | 22 | 21 | 15 | 16 | 17 |
| \( P \) | | | | | | |
### Description
- **Years** are listed across the top row, marking data points from 2003 to 2008.
- **\( n_1 \), \( n_2 \), and \( n_m \)** represent different data sets with values provided for each year.
- **\( P \)** is currently left blank, possibly indicating missing data or a row reserved for future input.
This table can be used in educational contexts to analyze trends over time for each variable.
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