- Demonstrate how to use the normal distribution as an approximation for the binomial distribution when the number of trials is large
- Review the assumptions and conditions that are necessary for using a normal model as an approximation for the binomial distribution
This packet shows you how to approximate the binomial distribution using the normal distribution in certain situations. This can be very useful, since the approximation takes a significantly less amount of time to computer. There is a slideshow of definitions, a video of examples, and examples for you to do on your own.
This packet shows you how to approximate the binomial distribution using the continuous normal distribution. There is a powerpoint of definitions and logic, and we have examples of how and when to use the approximation. There are no new terms in this packet.
This powerpoint shows the conditions, definitions, and reasons for the normal approximation the the binomial distribution.
This video goes through a detailed example of using the normal distribution to approximate probabilities for the binomial distribution.