Download presentation

Presentation is loading. Please wait.

Published byAsher Rix Modified over 4 years ago

1
1 QM Winter 2009 Winter 2009 Exercises for Test 1 Exercises for Test 1 Chapter s 1- 4 Del Balso

2
2 Probability Sample Any sample that is chosen by chance. Includes Simple Random Sample (SRS) and Stratified Samples. 1. Simple Random Sample Gives each individual in the population an equal chance of being chosen.

3
3 Use table of random digits (handout) or computer program to choose individuals or samples. Random: every individual or sample has an equal chance of being picked. This ensures the sample is representative of the population. Therefore, we can generalize the results back to the population.

4
4 Choose a Simple Random Sample (SRS) Step 1. Assign a number to every individual in the population (or to every sample). Assign numbers beginning with 0 and keep going until everyone has a number. Go down columns of lists. Step 2. Use random digits to select the numbers and choose those people.

5
5 The first two lines of the Random Digit Table p 550: Line 10119223950340575628713 96409125314254482853 10273676471509940001927 27754426488242536290

6
6 Ex., Choose a Simple Random Sample of 4 from the following past players of the Canadiens. (number down beginning with 0). Begin at line 101. Ribeiro BriseboisMarkov SouraySundstromHainsey RyderRivetHossa ZednikDackellGratton KoivuBouillonLangdon Perreault KilgerTheodore BulisQuintalDwyer Dagenais WardHiggins JuneauBeginPlekanec GaronKomisarek

7
7 The sample of 4 is: Komisarek (19); Hossa (22); Perreault (05); Dackell (13).

8
8 Exercises 1. Choose another simple random sample of 4 from the Canadiens hockey players starting at line 103.

9
9 2.You want to survey people about the recent election in the greater Montreal area. Let’s say there are 25 electoral districts in the greater Montreal area. Choose an SRS of 5 districts using line 110 of the Random Digit table. Explain each step.

Similar presentations

OK

5.1 Designing Samples. Differentiate between an observational study and an experiment Learn different types of sampling techniques Use a random.

5.1 Designing Samples. Differentiate between an observational study and an experiment Learn different types of sampling techniques Use a random.

© 2018 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google