Digtial Citizenship
Designing for the 21 Century Classroom
Flipping Your Classroom
Enhancing Intruction with Technology
Personalized Learning Through Gaming
• Demonstrate how to use the margin of error formula (t*(n-1)• S ) to calculate sample size when given a predetermined margin of error and level of confidence for a one-sample t-interval
• Review standard error for means
This packet is similar to the packet on estimating a sample size for proportions. We show you how to calculate a desired sample size given a margin of error and confidence level.
This packet covers sample size estimation when you are given a margin of error and confidence level for a means problem. There is a powerpoint of definitions and examples, as well as examples for you to do on your own. There are no new terms in this packet.
Source: Greene
This video shows two examples on estimating a desired sample size based on predetermined margins of error.
Suppose we have a population with a standard deviation of 17. We would like to create a 99% confidence interval with the margin of error being at most 5. What should our sample size be?
For our formula, we have a standard deviation of 17, a multiplier of 2.576(from the powerpoint), and a margin of error of 5. Therefore, we have
n = ((2.576*17)/5)^2 = 8.7584^2 = 76.7096 which we will round up to 77.
Therefore, a sample of size 77 will ensure our margin of error for our confidence interval is no greater than 5.
Source: Greene
