Skip to ContentGo to accessibility pageKeyboard shortcuts menu
OpenStax Logo
Introductory Statistics 2e

1.6 Sampling Experiment

Introductory Statistics 2e1.6 Sampling Experiment

Stats Lab

Sampling Experiment

Class Time:

Names:

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

In this lab, you will be asked to pick several random samples of restaurants. 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.

NOTE

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

Restaurants Stratified by City and Entree Cost
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, Samrat, 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
Table 1.21 Restaurants Used In Sample

A Simple Random SamplePick a simple random sample of 15 restaurants.

  1. Describe your procedure.
  2. Complete the table with your sample.
    1. __________ 6. __________ 11. __________
    2. __________ 7. __________ 12. __________
    3. __________ 8. __________ 13. __________
    4. __________ 9. __________ 14. __________
    5. __________ 10. __________ 15. __________
    Table 1.22

A Systematic SamplePick a systematic sample of 15 restaurants.

  1. Describe your procedure.
  2. Complete the table with your sample.
    1. __________ 6. __________ 11. __________
    2. __________ 7. __________ 12. __________
    3. __________ 8. __________ 13. __________
    4. __________ 9. __________ 14. __________
    5. __________ 10. __________ 15. __________
    Table 1.23

A Stratified SamplePick a stratified sample, by city, of 20 restaurants. Use 25% of the restaurants from each stratum. Round to the nearest whole number.

  1. Describe your procedure.
  2. Complete the table with your sample.
    1. __________ 6. __________ 11. __________ 16. __________
    2. __________ 7. __________ 12. __________ 17. __________
    3. __________ 8. __________ 13. __________ 18. __________
    4. __________ 9. __________ 14. __________ 19. __________
    5. __________ 10. __________ 15. __________ 20. __________
    Table 1.24

A Stratified SamplePick a stratified sample, by entree cost, of 21 restaurants. Use 25% of the restaurants from each stratum. Round to the nearest whole number.

  1. Describe your procedure.
  2. Complete the table with your sample.
    1. __________ 6. __________ 11. __________ 16. __________
    2. __________ 7. __________ 12. __________ 17. __________
    3. __________ 8. __________ 13. __________ 18. __________
    4. __________ 9. __________ 14. __________ 19. __________
    5. __________ 10. __________ 15. __________ 20. __________
    21. __________
    Table 1.25

A Cluster SamplePick a cluster sample of restaurants from two cities. The number of restaurants will vary.

  1. Describe your procedure.
  2. Complete the table with your sample.
    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 1.26
Citation/Attribution

This book may not be used in the training of large language models or otherwise be ingested into large language models or generative AI offerings without OpenStax's permission.

Want to cite, share, or modify this book? This book uses the Creative Commons Attribution License and you must attribute OpenStax.

Attribution information
  • If you are redistributing all or part of this book in a print format, then you must include on every physical page the following attribution:
    Access for free at https://openstax.org/books/introductory-statistics-2e/pages/1-introduction
  • If you are redistributing all or part of this book in a digital format, then you must include on every digital page view the following attribution:
    Access for free at https://openstax.org/books/introductory-statistics-2e/pages/1-introduction
Citation information

© Jul 18, 2024 OpenStax. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution License . The OpenStax name, OpenStax logo, OpenStax book covers, OpenStax CNX name, and OpenStax CNX logo are not subject to the Creative Commons license and may not be reproduced without the prior and express written consent of Rice University.