Sampling Methods and Data Types

Simple Random Sampling Method (SRS)

• A random technique is used.

• A systematic approach is followed.

• A stratified method is employed.

• A quota sampling technique is applied.

Discrete Data

• Counting

• Measuring

• Estimating

• Calculating

Relative Frequency

• @@\frac{Frequency}{Total\ Frequency}@@

• @@\frac{Total\ Frequency}{Frequency}@@

• @@Frequency + Total\ Frequency@@

• @@\frac{Frequency}{Total}@@

Continuous

• Measuring

• Counting

• Estimating

• Ranking

Observational Study

• Nothing is imposed

• Participants are randomly assigned to groups

• Interventions are applied to test outcomes

• Data is collected through experiments

Systematic Sampling Method

• Start with an individual and then sample every other individual after

• Start with a random individual and then sample every third individual after

• Start with the first individual and then sample every 10th individual after

• Start with an individual and then sample every fifth individual after

Experimental Study

• Something is imposed

• Data is collected passively

• Observations are made without intervention

• Participants are surveyed without manipulation

Convenience Sampling Method

• EASY Access

• Random Selection

• Systematic Sampling

• Stratified Sampling

Cluster Sampling Method

• Divide population into groups, select all of x number of groups

• Select random individuals from the entire population

• Choose a single group and sample from it

• Divide population into pairs and sample one from each pair

Stratified Sampling Method

• Select a random sample from the entire population

• Divide the population into groups, select some from each group

• Choose individuals based on their characteristics

• Use a single group to represent the entire population