Question

b. use your answers from part (a) to find and order the population densities (people per square mile) of each country from least to greatest.

	country	population per square mile
	argentina
	china	365
greatest	united states	954

Answer:

To solve this, we need the population densities from part (a) (not provided here, but typically population density is calculated as \( \text{Population Density} = \frac{\text{Population}}{\text{Land Area}} \)). Assuming we have the densities:

Step 1: Recall or Calculate Densities

Let's assume typical values (or use part (a) results). For example, Argentina has a lower density, then maybe a middle one, then China (365), then United States? Wait, no—wait, the table has some filled. Wait, the problem says "use your answers from part (a)". Since part (a) is missing, but let's infer.

Wait, the given table has:

• Argentina (Least section)
• China: 365
• United States: 954 (Greatest section)

Assuming part (a) gave densities, say:

• Argentina: ~15 (example)
• Then maybe another country (e.g., India? No, the table has Argentina, China, US). Wait, maybe the countries are Argentina, [another], China, [another], US? Wait, the table has 5 rows? Wait, the image shows:

Rows (from Least to Greatest):

1. (empty country, empty density)
2. (empty country, empty density)
3. Argentina (empty density)
4. China (365)
5. United States (954)

Wait, no—probably the countries are Argentina, [maybe Russia?], China, [maybe India?], US? No, the problem is to order from least to greatest.

Assuming typical population densities:

• Argentina: ~15 people per square mile
• Let's say another country (e.g., Canada) ~10? No, Argentina is ~15, Canada ~4. Wait, maybe the correct order (with given China=365, US=954) and Argentina lower.

But since part (a) is needed, but if we assume:

Suppose part (a) gave:

• Argentina: 15
• Let's say a middle country (e.g., Brazil) ~60
• China: 365
• Another (e.g., India) ~1100? No, the table has US=954 as greatest. Wait, maybe the countries are Argentina, [country X], [country Y], China, United States.

But since the user's table has Argentina in row 3, China in row 4 (365), US in row 5 (954) as greatest. So the order from least to greatest would be:

1. Least: [Country with lowest density] (e.g., if Argentina is ~15, then first row)
2. Next: [Next lowest]
3. Argentina
4. China (365)
5. Greatest: United States (954)

But since part (a) is missing, we can't compute exact values. However, if we assume the densities from part (a) are, say:

• Argentina: 15
• Country A: 50
• Country B: 200
• China: 365
• United States: 954

Then the order from least to greatest would be:

1. Least: Argentina (15)
2. Next: Country A (50)
3. Next: Country B (200)
4. China (365)
5. Greatest: United States (954)

But since the table has Argentina in row 3, China in row 4, US in row 5, we need to fill the first two rows with lower densities.

However, without part (a), we can't get exact numbers. But the process is:

Step 1: Get Densities from Part (a)

Let \( D_1, D_2, D_3, D_4, D_5 \) be the densities of the five countries (including Argentina, China, US).

Step 2: Sort Densities Ascending

Sort \( D_1, D_2, D_3, D_4, D_5 \) from smallest to largest.

Step 3: Assign to Table

Place the country with the smallest density in the "Least" row, next in the row below, then Argentina, then China (365), then United States (954) as "Greatest".

For example, if part (a) gave:

• Country X: 10
• Country Y: 25
• Argentina: 30
• China: 365
• United States: 954

Then the order would be:

1. Least: Country X (10)
2. Next: Country Y (25)
3. Argentina (30)
4. China (365)
5. Greatest: United States (954)

But since the user's table has Argentina in row 3, China in row 4, US in row 5, we fill the first two with lower densities.

Final Answer (Assuming Typical Densities)

Least	Population per square mile
Country Y	25
Argentina	30
China	365
Greatest	United States	954

(Note: Actual values depend on part (a) results. The key is to sort the densities from part (a) in ascending order and place them in the table.)