1. Section 3.1B Other Sampling Methods

2. Objective: To be able to understand and implement other sampling techniques including systematic, stratified, cluster, and convenience sampling. Purpose: To have the ability to choose the best sampling technique that would produce the best sample.

3. Why not SRS? Sometimes it’s just not feasible or practical. Sometimes there are statistical advantages to using more complex sampling methods.

4. Stratified Random Sample Divide the population into groups of individuals that are similar in some way that is important to the response. Choose a separate SRS in each stratum Combine these to form the full sample

5. Stratified Sampling Data is divided into subgroups (strata) Strata are based specific characteristic Age Education level Etc. Use random sampling within each strata 5

6. Example To survey radio station about the most requested songs we randomly choose 100 radio stations from each geographic location.

7. Cluster Sample Divide the population into groups or clusters. Randomly choose some of these clusters. All individuals in the chosen clusters are the sample

8. Cluster Sampling Data is divided into clusters Usually geographic Random sampling used to choose clusters All data used from selected clusters

9. Example of Cluster Survey AP students to see if they had enough time to take the test. We randomly pick some of the schools that took the test & every student at the selected schools are surveyed.

10. Systematic Sampling This is where you survey every k th person. You randomize it by randomly choosing where to start.

11. Systematic Sampling All data is sequentially numbered Every nth piece of data is chosen

12. In a large city school system with 20 elementary schools, the school board is considering the adoption of a new policy that would require elementary students to pass a test in order to be promoted to the next grade. The PTA wants to find out whether parents agree with this plan. Tell what type of sampling was used and what biases (if any) might result. Don’t forget convenience and voluntary.

13. Put a big ad in the newspaper asking people to log their opinions on the PTA web site.

14. Randomly select one of the elementary schools and contact every parent by phone.

15. Send a survey hoe with every student, and ask parents to fill it out and return it the next day.

16. Randomly select 20 parents from each elementary school. Send them a survey, and follow up with a phone call if they do not return the survey within a week.

17. Run a poll on the local TV news, asking people to dial one of two phone numbers to indicate whether they favor or oppose the plan.

18. Hold a PTA meeting at each of the 20 elementary schools and tally the opinions expressed by those who attend the meetings.

19. Randomly select one class at each elementary school and contact each of those parents.

20. Go through the district’s enrollment records, selecting every 40 th parent. PTA volunteers will go to those homes to interview the people chosen.

21. Example A British farmer grows sunflowers for making sunflower oil. Her field is arranged in a grid pattern, with 10 rows and 10 columns as shown in the figure on the next page. Irrigation ditches run along the top and bottom of the field, as shown. The farmer would like to estimate the number of healthy plants in the field so she can project how much money she’ll make from selling them. It would take too much time to count the plants in all 100 squares, so she’ll accept an estimate based on a sample of 10 squares.

22. Sampling and Surveys Activity: Sampling Sunflowers using an SRS Use Table D or technology to take an SRS of 10 gridsquares using the rows as strata. Record the location (forexample, B6) of each square you select.

23. Sampling and Surveys Activity: Sampling Sunflowers using Stratified Sampling Use Table D or technology to take a stratified sample using thecolumns as strata and selecting one square from each column.Record the location (for example, B6) of each square youselect.

24. Sampling and Surveys Activity: Sampling Sunflowers using Cluster Sampling Use Table D or technology to take a cluster sample using therows as strata and selecting one row as your sample. Record thelocation (for example, B6) of each square you select.

25. The table gives the actual # of sunflowers in each grid. Use this information to calculate your estimate of the mean number of sunflowers per square for each of your sample types. ABCDEFGHIJ 1 106104106105 108 107106 2 103102103104103 104103105 3 10199102101100 102101102101 4 9899 100999810199101 5 98100 99 9810098 6 9798 99 9798 7 103102 104101102 104102 8 104103 102 103104102 9 106 104106102107104103106 10 107108109110106107109107106107

26. How did you do? The mean number of sunflowers in the population of all 100 grid squares in the field was 102.46. How did the 3 types of sampling methods do?

27. Sampling and Surveys Example: Sampling at a School Assembly Describe how you would use the following samplingmethods to select 80 students to complete a survey. (a) Simple Random Sample (b) Stratified Random Sample (c) Cluster Sample

28. SRS Use randInt(1,800) until 80 different seats are chosen. Then give the survey to the students in those seats.

29. Stratified Sample Use grade level as strata. Within each grade’s seating area, we’ll select 20 seats at random. 9 th Grade: use randint(601,800). 10 th Grade: use randint(401, 600). 11 th Grade: use randint (201, 400). 12 th Grade: (1,200). Give the survey to those selected.

30. Cluster Sample With the way the students are seated, each column of seats from the stage to the back of the auditorium could be used as a cluster. NOTE: Each cluster has all grade levels, so each should represent the population well. There are 20 clusters, each with 40 seats. We need to choose two clusters to get 80 students for the survey. Use randInt (1,20) select 2 clusters and survey all students in both clusters.

32. Inference It is the process of drawing conclusions about a population on the basis of sample data. Inferences from convenience samples or voluntary samples would be misleading because the methods are biased.

33. Activity One at a time, each student will take a SRS of 20 chips and record the proportion of chips obtained that are red. Dotplot of sample proportions:

34. Trusting Random Samples Laws of probability all us to say how likely it is that sample results are close to the true population. Laws of probability allow trustworthy inference about the population with a margin of error.

35. Margin of Error Sets bounds on the size of the likely error. Larger random samples give better information about the population than smaller samples.

36. Classwork Bias Worksheet

37. Homework Page 227 (17-25) odd Page 230 (37-42)