BBA-7B (SAMPLING-2)

.............is a subset of the population. It comprises some members selected from it.

• Element

• Sample

• Population

• Subject

......... is a single member of the sample, just as an element is a single member of the population

• Element

• Subject

• Poulation

• Sample

We do sampling because of the following reasons.........

• understand of properties or characteristics of population

• It makes it possible for us to generalize properties

• Practically impossible to collect data from, or test, or examine every element.

• To destroy each element of population

A sample in which every unit in the population has a chance (greater than zero) of being selected in the sample

• Non Probability Sampling

• Probability Sampling

• Destructive Sampling

• None of these

Image referes to...

• Stratified Sampling

• Cluster sampling

• Systematic Sampling

• Random Sampling

A .....sample is obtained by dividing the population into sections or clusters and then selecting one or more clusters at random

• Judgement

• Quota

• Stratified

• Cluster

................. SAMPLING involves the choice of subjects who are most advantageously placed or in the best position to provide the information required.

• Random

• Quota

• Stratified

• Judgement

If the representativeness of sample is not critical for the study, we use.........

• Probabililty

• Non Probability

• Both destructive and Probability

• Destructive sampling

For Stratifid Random sampling

• Stratification must be meaningful

• Sampling frame is essential

• Quota should be accurate

• Expert judgement should be included

Type of purposive sampling, ensures that certain groups are adequately represented in the study through the assignment of a quota.

• Simple random

• Convenience

• Cluster

• Quota