1. Other Probability Sampling Methods

2. Class Objective After this class, you will be able to
Apply different Probability Sampling Methods

3. Other Sampling Methods
Not always practical to take a simple random sample, can be difficult to get a numbered list of all units.
Example: College administration would like to survey a sample of students living in dormitories.
Shaded squares show a simple random sample of 30 rooms.
Copyright ©2011 Brooks/Cole, Cengage Learning

4. Stratified Random Sampling
Divide population of units into groups (called strata) and take a simple random sample from each of the strata.
College survey: Two strata = undergrad and graduate dorms.
Take a simple random sample of 15 rooms from each of the strata for a total of 30 rooms.
Ideal: stratify so little variability in responses within each of the strata.
Copyright ©2011 Brooks/Cole, Cengage Learning

5. Advantages of Stratified Sampling
By taking a separate SRS in each stratum, we can set sample sizes to allow separate conclusions about each stratum.
A stratified sample usually has a smaller margin of error than an SRS of the same size because the individuals in each stratum are more alike than the population as a whole. Therefore working stratum-by stratum eliminate some variability in the sample.

6. Problem of Stratified Sampling
Violate the most appealing properties of the SRS – Stratified samples need not give all individuals in the population the same chance to be chosen. The data collected could be _b_________
Answer: Biased

7. Cluster Sampling
Divide population of units into groups (called clusters), take a random sample of clusters and measure only those items in these clusters.
College survey: Each floor of each dorm is a cluster.
Take a random sample of 5 floors and all rooms on those floors are surveyed.
Advantage: need only a list of the clusters instead of a list of all individuals.
Copyright ©2011 Brooks/Cole, Cengage Learning

8. Cluster Sampling Divide the demographic area into sections/clusters
Randomly select sections or clusters
Include every member of the cluster in the sample
Example: divide the schools in a large city into different sections. Randomly select a section and include all the children of the schools in the elected section as sample
sampling randomly will eliminate systematic bias
Similar to stratified, but instead of doing SRS in the strata, we do CENSUS of the cluster, cover every individual in the cluster It works ONLY if the cluster you select is a good representation of the whole population.
For instance if you do cluster in high school according to the 4 level, freshman, sophmore, junior and senior, no matter which level/cluster you pick, it might not be a good representation of the school.
But if you try to find how many words in a sentence of a large book, each page might be a good cluster because every page could be a good represenation of all the other pages. So by doing a cluster sample of one page might be a good sample.

9. Systematic Sampling
Order the population of units in some way, select one of first k units at random and then every kth unit thereafter.
College survey: Order list of rooms starting at top floor of 1st undergrad dorm. Pick one of the first 11 rooms at random  room 3, then pick every 11th room after that.
Note: often a good alternative to random sampling but can lead to a biased sample.
Copyright ©2011 Brooks/Cole, Cengage Learning

10. Systematic Sampling
Assumed the elements of the population are arranged in a “natural” sequential order
Select a (random) starting point
Select every kth element for the sample
Example: People lining up to buy rock concert tickets are “in order” - > include every 5th person in the line in the sample
sampling randomly will eliminate systematic bias

11. Systematic Sampling Example
Use systematic sampling method to select 10 representative from 280 students at TRMC
Determine the kth element for the sample
280 / that is every 28 students, we pick one representative
Determine the entry point (based on the random number table)
If the entry point is 114th, then 142th will be the next one
sampling randomly will eliminate systematic bias

12. Now you try it
Use systematic sampling method to choose 4 rooms out of the 100 rooms in an apartment complex.
Enter the Random number table at line 21
Which are the 4 rooms selected?

13. Multistage Sampling Example:
Using a combination of the sampling methods, at various stages.
Example:
Stratify the population by region of the country.
For each region, stratify by urban, suburban, and rural and take a random sample of communities within those strata.
Divide the selected communities into city blocks as clusters, and sample some blocks.
Everyone on the block or within the fixed area may then be sampled.
Copyright ©2011 Brooks/Cole, Cengage Learning

14. Homework Reading: Assignment: Chapter 5 Exercise 5.52 and 5.53
Chapter 5 – p