1. Remind ALL Make Up WORK due next Friday, May 25th!!!
M3U8D3 Warm-up:
1. Suppose you are given the number 1 and each of the other students in your class calls out consecutive numbers until each person in class has his or her own number. Explain how you could get a bias sample of four students from your class.
Varies
Remind ALL Make Up WORK due next Friday, May 25th!!!

2. M3U8D3 Objective: Margin of Error
• Develop a margin of error through the use of simulation models for random sampling

3. Finding a Margin of Error
Margin of error – “cushion” around a statistic
THINK The Price is Right!
ME =
n = sample size
Why do you think we use this formula?

4. Suppose that 900 American teens were surveyed about their favorite event of the Winter Olympics. Ski jumping was the favorite for 20% of those surveyed. This result can be used to predict the true interval of the proportion of American teens who favor ski jumping.
We are confident that the true proportion of American teens who favor ski jumping falls between 17% and 23%.

5. How does the margin of error change in relation to the sample size?
If your sample size is 400 and you wish to cut the margin of error in half, what will your new sample size be?
1600
What sample size produces a given margin of error?
If you want your margin of error to be 5%, what size sample will you need?
400

6. Classwork:
p. 9&10

7. Distribute Math 3 Review Packet
Homework:
pp. 9&10
Distribute Math 3 Review Packet