# Qualitative and Quantitative Measurement - Probability Sampling - Typesof Probability Samples

## 10 important questions on Qualitative and Quantitative Measurement - Probability Sampling - Typesof Probability Samples

### What is a sampling distribution?

It is a distribution of different samples that shows the frequency of different sample outcomes from many separate random samples.

### What is the central limit theorem?

It tells us that as the number of different random samples in a sampling distribution increases toward infinity, the pattern of samples and the population parameter become more predictable.

### What is a sampling interval?

It tells you how to select elements from a sampling frame by skipping elements in the frame before selecting one for the sample.

### What is the advantage of stratified sampling?

You make fewer errors representing the population and have a smaller sampling error with stratified sampling.

### Which two problems does cluster sampling adress?

You lack a good sampling frame for a dispersed population and the cost to reach a sampled element is very high.

### What is a cluster?

An unit that contains final sampling elements but you can treat it temporarily as a sampling element itself.

### How does cluster sampling work?

You randomly sample custers, and then randomly sample elements from withing the selected clusters.

### What are two big practical advantages?

• You can create a good sampling frame of clusters, even if it is impossible for you to create one for sampling elements.
• For geographically disperse populations the elements iwthin each cluster are physically closer to one another which may produce a savings in locating or reaching each element.

### What is probability proportionate to size (PPS)?

Each final sampling element will have an equal probability of being selected.

### What is random-digit dialing (RDD)?

A samping technique used in studies in which you contact the public by telephone.

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