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The assignment appears to be on the **Principles of Sampling** in **Biostatistics and Epidemiology**. Let's break down the tasks:

### 1. Principles of Sampling:
- **What is the difference between population and sample?**
  - **Population** refers to the entire group that you want to draw conclusions about, while a **sample** is a subset of the population that is selected for study. The sample should ideally be representative of the population to allow accurate conclusions to be drawn.

- **A sample is to be drawn from a stratified sampling method.**  
  You have to distribute the sample across five different groups (Purok 1 to Purok 5). Let's work through the calculations:

  ### Stratified Sampling Method:
  You have **3,000** total students and must choose a sample size for each group. The sample size for each group depends on the proportion of students in that group relative to the total population.

  The formula to calculate the sample size for each section is:
  \[
  \text{Sample for each section} = \left( \frac{\text{Number of students in section}}{\text{Total number of students}} \right) \times \text{Sample size}
  \]

  Suppose you are asked to sample **5%** of the population, then:
  \[
  \text{Total Sample Size} = 0.05 \times 3000 = 150
  \]

  Now let's calculate the sample for each Purok:

  1. **Purok 1**: 
     \[
     \text{Sample for Purok 1} = \left( \frac{660}{3000} \right) \times 150 = 33
     \]
  
  2. **Purok 2**: 
     \[
     \text{Sample for Purok 2} = \left( \frac{500}{3000} \right) \times 150 = 25
     \]

  3. **Purok 3**: 
     \[
     \text{Sample for Purok 3} = \left( \frac{750}{3000} \right) \times 150 = 37.5 \approx 38
     \]
  
  4. **Purok 4**: 
     \[
     \text{Sample for Purok 4} = \left( \frac{590}{3000} \right) \times 150 = 29.5 \approx 30
     \]
  
  5. **Purok 5**: 
     \[
     \text{Sample for Purok 5} = \left( \frac{500}{3000} \right) \times 150 = 25
     \]

  After rounding, the sample size per section should be approximately:
  - Purok 1: 33
  - Purok 2: 25
  - Purok 3: 38
  - Purok 4: 30
  - Purok 5: 25

  ### Additional Question:
  - **What would be the minimum sample size if you are to use cluster sampling?**
    - For **cluster sampling**, the minimum sample size depends on how the clusters are defined and selected. Cluster sampling typically involves selecting entire groups (clusters) rather than individuals. The minimum sample size will depend on how many clusters are selected, but further details would be needed to give an exact answer.

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Would you like to go deeper into the calculations or discuss the sampling methods in more detail?

### Related Questions:
1. How does cluster sampling differ from stratified sampling?
2. What are the advantages of stratified sampling in population studies?
3. How does sample size affect the reliability of results in epidemiological studies?
4. Can the same sample size be used across different strata in stratified sampling?
5. How would the sampling method change if the population sizes were unknown?

### Tip:
When choosing a sampling method, ensure that it reduces bias and increases the representativeness of the population for more accurate results.

What is the difference between population and sample? How would you use stratified sampling to calculate the sample per section?

Learn how to calculate the sample per section using stratified sampling for a population of students in biostatistics. Detailed explanation includes how to distribute a sample size proportionally based on the number of students in each section.

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