Overview

Sampling - Random sampling; sampling distribution; computing sample sizes

First 1/3 of class

Quickly repeat what you did in the last tutorial. Go to Speedway Bus Lines in the menu (Ch. 8.1 in the Exercise book). How large should a sample be for any variable ? That is the purpose of this exercise. There are several parts to this program. Go to Part A and try out several sample sizes. Try sample sizes of 1, 5, 10, 30, 50, and 100. Write down what you observe as sample size increases. Repeat the procedure for Part B. Spend a lot of time on Part B and write down your observations of what happens as sample size increases. Repeat the procedures for the parts c, d, and e. Last week you looked at number of commuter trips. This week, you can either look at that or some other variables.

(Point to ponder: Do you now understand (i) a sampling distribution, (ii) why we have the central limit theorem, (iii) what random sampling helps us to do, (iv) why a normal distribution is important, (v) how sampling error is computed.)

Second 1/3 of class

Go to Ch. 9 in the exercise book. Material on pages 110 onwards is useful. We will be using Parts A and B of the software under Sample size analysis. Familiarize yourself with the terms on pages 110-114. Then go to page 120 and solve Questions 1 and 2. Write down your work as you go along.If you have time, go to page 135 and solve the first question using simple random sampling.

Third 1/3 of class

View each video shown and note down how it applies the concepts you have learned in class.

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