Skip to content Skip to navigation

OpenStax_CNX

You are here: Home » Content » Sampling and Data: Sampling Experiment Lab II

Navigation

Recently Viewed

This feature requires Javascript to be enabled.

Tags

(What is a tag?)

These tags come from the endorsement, affiliation, and other lenses that include this content.
 

Sampling and Data: Sampling Experiment Lab II

Module by: Barbara Illowsky, Ph.D., Susan Dean. E-mail the authors

Summary: This module is a DRAFT.

Note: You are viewing an old version of this document. The latest version is available here.

Note:

This module is a DRAFT.

Class Time: __________________

Names:______________________________________

Student Learning Outcomes

  • The student will demonstrate the simple random, systematic, stratified, and cluster sampling techniques.
  • The student will explain each of the details of each procedure used.

The following page contains restaurants stratified by city into columns and grouped horizontally by entree cost(clusters)

In this lab, you will be asked to pick several random samples. In each case, describe your procedure briefly, including how you might have used the random number generator, and then list the restaurants in the sample you obtained.

A.

Pick a simple random sample of 15 restaurants.

Procedure:

Table 1: Random Sample of 15 Restaurants
1.__________ 6.__________ 11.__________
2.__________ 7.__________ 12.__________
3.__________ 8.__________ 13.__________
4.__________ 9.__________ 14.__________
5.__________ 10.__________ 15.__________

B.

Pick a systematic sample of 15 restaurants.

Procedure:

Table 2: Systematic Sample of 15 Restaurants
1.__________ 6.__________ 11.__________
2.__________ 7.__________ 12.__________
3.__________ 8.__________ 13.__________
4.__________ 9.__________ 14.__________
5.__________ 10.__________ 15.__________

C.

Pick a stratified sample, by entree cost, of 20 restaurants with equal representation from each stratum.

Procedure:

Table 3: Stratified Sample of 20 Restaurants by Entree Cost
1.__________ 6.__________ 11.__________ 16.__________
2.__________ 7.__________ 12.__________ 17.__________
3.__________ 8.__________ 13.__________ 18.__________
4.__________ 9.__________ 14.__________ 19.__________
5.__________ 10.__________ 15.__________ 20.__________

D.

Pick a stratified sample by city, of 21 restaurants with equal representation from each stratum.

Procedure:

Table 4: Stratified Sample of 20 Restaurants by City
1.__________ 6.__________ 11.__________ 16.__________
2.__________ 7.__________ 12.__________ 17.__________
3.__________ 8.__________ 13__________. 18.__________
4.__________ 9.__________ 14.__________ 19.__________
5.__________ 10.__________ 15.__________ 20.__________
      21.__________

E.

Pick a cluster sample of restaurants from two cities. The number of restaurants will vary.

Procedure:

Table 5: Cluster Sample of Restaurants in 2 Cities
1.__________ 6.__________ 11.__________ 16.__________ 21.__________
2.__________ 7.__________ 12.__________ 17.__________ 22.__________
3.__________ 8.__________ 13.__________ 18.__________ 23.__________
4.__________ 9.__________ 14.__________ 19.__________ 24.__________
5.__________ 10.__________ 15.__________ 20.__________ 25.__________
Table 6: Restaurants Used in Sample (Example)
Entree Cost → Under $10 $10 to under $15 $15 to under $20 Over $20
San Jose El Abuelo Taq,Pasta Mia,Emma's Express,Bamboo Hut Emperor's Guard,Creekside Inn Agenda,Gervais,Miro's Blake's,Eulipia,Hayes Mansion,Germania
Palo Alto Senor Taco,Olive Garden,Taxi's Ming's,P.A.Joe's,Stickney's Scott's Seafood,Poolside Grill,Fish market Sundance Mine,Maddalena's,Spago's
Los Gatos Mary's Patio,Mount Everest,Sweet Pea's,Andele Taqueria Lindsey's,Willow Street Toll House Charter House,La Maison Du Cafe
Mountain View Maharaja,New Ma's,Thai-Rific,Garden Fresh Amber Indian,La Fiesta,Fiesta Del Mar,Dawit Austin's,Shiva's,Mazeh Le Petit Bistro
Cupertino Hobees,Hung Fu,Smarat,Panda Express Santa Barb.Grill,Mand.Gourmet,Bombay Oven,Kathmandu West Fontana's,Blue Pheasant Hamasushi,Helios
Sunnyvale Chekijababi,Taj India,Full Throttle,tia Juana,Lemon Grass Pacific Fresh,Charley Brown's,Cafe Cameroon,Faz,Aruba's Lion Compass,The Palace,Beau Sejour
Santa Clara Rangoli,Armadillo Willy's,Thai Pepper,Pasand Arthur's,Katie's Cafe,Pedro's,La Galleria Birk's,truya Sushi,Valley Plaza Lakeside,Mariani's

** The original lab was designed and contributed by Carol Olmstead.

Content actions

Download module as:

Add module to:

My Favorites (?)

'My Favorites' is a special kind of lens which you can use to bookmark modules and collections. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need an account to use 'My Favorites'.

| A lens I own (?)

Definition of a lens

Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks