NSC 203: BIOSTATISTICS C.A

To study the entire population

To select a portion of the population for analysis

To avoid data collection

To eliminate biases in research

Simple random sampling

Convenience sampling

Stratified sampling

Systematic sampling

It ensures each stratum is represented in the sample

It requires no prior knowledge of the population

It's the easiest method to implement

It eliminates all sampling errors

Individually at random

Through large groupings (clusters)

Based on researcher's convenience

Through quota systems

It requires a random start point

It doesn't need a sampling frame

It's the same as convenience sampling

It guarantees zero sampling error

Simple random sampling

Stratified sampling

Systematic sampling

Cluster sampling

Equal chance of selection for all elements

Predictable selection probabilities

Unpredictable selection probabilities

Guaranteed representativeness

Quota sampling

Purposive sampling

Convenience sampling

Snowball sampling

To ensure sample matches population characteristics

To maximize random selection

To minimize data collection time

To eliminate all biases

In large-scale surveys

In qualitative studies

In probability sampling

In cluster sampling