Question

analysis
the lesson of the kaibab
data table
year: 1905, 1910, 1915, 1920, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1935, 1939
deer population: 4,000; 9,000; 25,000; 65,000; 100,000; 60,000; 40,000; 37,000; 35,000; 30,000; 25,000; 20,000; 18,000; 10,000
(grid for plotting)

Explanation:

Since the problem (presumably related to analyzing the Kaibab deer population data, like graphing or calculating trends) isn't fully stated, but assuming a task like plotting the data or finding a trend:

Step-by-Step Format (if calculating a rate or graphing)

Step 1: Identify Variables

Let \( x \) be the year, \( y \) be deer population. Data points: (1905, 4000), (1910, 9000), (1915, 25000), (1920, 65000), (1924, 100000), (1925, 60000), (1926, 40000), (1927, 37000), (1928, 35000), (1929, 30000), (1930, 25000), (1931, 20000), (1935, 18000), (1939, 10000).

Step 2: Analyze Trend (e.g., growth then decline)

From 1905 - 1924, population grows: 4000 → 100000 (exponential? Linear? Let's check slope between 1905 and 1924: \( \text{slope} = \frac{100000 - 4000}{1924 - 1905} = \frac{96000}{19} \approx 5052.63 \) per year. Then from 1924 - 1939, decline: 100000 → 10000 over 15 years: \( \text{slope} = \frac{10000 - 100000}{1939 - 1924} = \frac{-90000}{15} = -6000 \) per year.

Step 3: Graphing (if needed)

Plot years on x - axis, population on y - axis (using a scale, e.g., x: 1900 - 1940, y: 0 - 110000). Mark each data point and draw a line/curve.

If the question was to find the peak population:

Step 1: Scan Population Values

Population values: 4000, 9000, 25000, 65000, 100000, 60000, 40000, 37000, 35000, 30000, 25000, 20000, 18000, 10000.

Step 2: Identify Maximum

The maximum value is 100000, which occurs in 1924.

Answer:

If peak population: The peak deer population is 100,000 (in 1924). If trend analysis: Population grew then declined, with growth rate ~5052.63/year (1905 - 1924) and decline rate - 6000/year (1924 - 1939). (Adjust based on actual question, but since the problem was unclear, provided common analyses for this data set.)