Business Homework Solutions
#48052
Population sample data, binomial & normal distributions
1. Why do we want to assume that our sample data represent a population
distribution?
2. What are the differences between the binomial and normal distributions?
Thank you.
This solution discusses normal distribution and why we want to assume that our sample data represent a population distribution. The differences between the binomial and normal distributions are also discussed. Many examples are provided as well as one supporting article for further reading.
What is this?
By OTA - Overall OTA Rating
Deb Anderson, MEd - 4.9/5
Purchase Cost Now
$2.19 CAD (was ~$7.98)
Included in Download
- Plain text response
- Attached file(s):
- Posting 48052.doc
- Binomial Distribution.doc
Why you can trust BrainMass.com
- Your Information is Secure
- Best Online Academic Help Service
- Students find real academic Success
- Distribution questions - 1. What are the assumptions underlying a normal distribution? 2. What are the assumptions underlying a binomial distribution? 3. Why do we want to assume that our sample data repr ...
- How different statistical devices can be used in business? - How the following statistical devices can be used in business today? Describe their usefulness and how businessman can be benefit, or how to help them in making sound decisions. (Explain individually) ...
- Describe the properties of a normal distribution. - Describe the properties of a normal distribution. Explain why there are an infinite number of normal distributions. Why do we want to assume that our sample data represent a population distribution?
- Distribution, Central Limit Theorem - 1. The portion of the distribution which is not in the rejection region is called the _______. null region tolerable region alternative region not rejectance region 2. The centra ...
- A population consists of ten items, six of which are defective. In a sample of three items, what is the probability that exactly two are defective? Assume the samples are drawn without replacement. - A population consists of ten items, six of which are defective. In a sample of three items, what is the probability that exactly two are defective? Assume the samples are drawn without replacement.
