What is the purpose of sampling in population studies?
Draw conclusions about the population
Sampling offers several benefits, including reduced costs and time
The formula for estimating population density, D, is D = \frac{\text{Number of individuals \in sample}}{\text{Area of sample plot}}</latex>.
Which sampling technique is ideal for uniformly distributed populations?
Random sampling
Systematic sampling is suitable for large areas with consistent distribution
When is stratified sampling used in population studies?
When the population is divided into subgroups
Random sampling ensures an unbiased selection because every individual has an equal chance of being chosen.
Systematic sampling can introduce bias if intervals coincide with population patterns
What is a weakness of stratified sampling?
It requires detailed knowledge of subgroups
Steps involved in random sampling
1️⃣ Identify the population
2️⃣ Assign numbers to each individual
3️⃣ Select numbers randomly
4️⃣ Collect the sample
Random sampling minimizes selection bias, providing a true representation of the population.
What is the primary benefit of sampling in population studies?
Reduces costs and time
Match the sampling technique with its strength:
Random Sampling ↔️ Ensures unbiased selection
Systematic Sampling ↔️ Good for large, consistent areas
Stratified Sampling ↔️ Ensures representation of subgroups
Why is random sampling considered unbiased?
Every member has equal chance
A large sample size is essential in random sampling to ensure representativeness.
What is the defining characteristic of stratified sampling?
Dividing population into subgroups
One advantage of stratified sampling is that it ensures each stratum contributes proportionally
Stratified sampling reduces sampling error in heterogeneous populations compared to random sampling.
What does stratified sampling ensure in terms of subgroups within a sample?
Proportional contribution
Stratified sampling involves dividing the population into subgroups based on shared characteristics
Stratified sampling reduces sampling error in heterogeneous populations.
What is the formula for calculating sample size in proportional allocation for stratified sampling?
n_{i} = N_{i} \times \frac{n}{N}</latex>
Match the step in systematic sampling with its description:
Define Population ↔️ Identify the entire group
Calculate Sampling Interval ↔️ K=nN
Choose Random Start ↔️ Select a number between 1 and K
Select Sample ↔️ Choose every Kth individual
One advantage of systematic sampling is its simplicity
What is the primary purpose of sampling in population studies?
Efficient estimation
Sampling reduces costs by measuring fewer individuals.
The formula for estimating population density is D= \frac{\text{Number of individuals \in sample}}{\text{Area of sample plot}}, where D represents density
Match the sampling technique with its strength:
Random Sampling ↔️ Ensures unbiased selection
Systematic Sampling ↔️ Simple and uniform selection