1 / 13

Simple Random Sampling

Simple Random Sampling. Lecture 7 Section 2.5 Tue, Jan 27, 2004. Simple Random Sample. Simple Random Sample of size n – A sample of size n chosen in such a way that all possible samples of size n have the same chance of being selected. Selecting a Simple Random Sample.

leontyne
Télécharger la présentation

Simple Random Sampling

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Simple Random Sampling Lecture 7 Section 2.5 Tue, Jan 27, 2004

  2. Simple Random Sample • Simple Random Sample of size n – A sample of size n chosen in such a way that all possible samples of size n have the same chance of being selected.

  3. Selecting a Simple Random Sample • Given a population of size N, number the members from 1 to N. • Then use a random number generator (such as on a calculator) to generate n random integers from 1 to N. • If the sampling is done without replacement, then repetitions should be discarded.

  4. Using a Random Number Table • See the Random Number Table on page 85. • Use it to select a random sample of size n = 10 from a population of size N = 100. • Use it to select a random sample of size n = 10 from a population of size N = 133.

  5. Using the TI-83 • Press MATH. • Use arrow keys to highlight PRB menu. • Press 5 to select randInt (item #5). • Enter randInt(1, 100) and press ENTER. • A random number appears. • Press ENTER repeatedly for more random numbers.

  6. Setting the Seed • A random number generator uses a "seed" value to get the next random number. (See p. 87.) • Enter the desired seed, say, 33. • Press STO. • Press MATH, hightlight PRB, select rand (item #1). • Press ENTER. The seed is set to 33.

  7. Example • See Example 2.14, p. 88.

  8. Let's Do It! • Let's do it! 2.4 – A Simple Random Sample of Companies. • Let's do it! 2.5 – Simple Random Sampling. • Divide the class into two groups. • Change “proportion of women” to “proportion of freshmen.”

  9. Using Excel • Click in Cell A1. • Type =rand(). • Press ENTER. A random number appears. • Click in Cell B1. • Type =100*A1. • Press ENTER.

  10. Using Excel • Click in Cell C1. • Type =ceiling(B1,1). • Press ENTER. An random integer from 1 to 100 appears. • The functions rand() and ceiling() may be found under “Function…” in the Insert menu.

  11. Using Excel • Select the rectangle of cells A1 – C1 through A20 – C20. • Press CTRL-D to “fill down.” • Column C now contains 20 random numbers from 1 to 100.

  12. Using Excel • This could all be accomplished in one column by typing =ceiling(100*rand(), 1) in Cell A1 and filling down through Cell A20. • Excel does not give you access to the seed.

  13. Assignment • Page 112: Exercises 16 – 21, 23 – 24.

More Related