1. What is the difference between a binomial distribution and a normal distribution? Provide an example that illustrates the difference.
2. What are the five steps of hypothesis testing... list each?
3. Provide one example of probability sampling.
4. Provide one example of non-probability sampling.
Please refer to the attached file for the complete and formatted solution.
1. Binomial and normal distributions
-it is a discrete distribution
-every trial has only two possibilities - success or failure
-characterized by number of trials n and fraction of successes p
-example: the number of sixes in 30 rolls of a fair die is a binomial distribution. The number of heads in 15 tosses of a fair coin is also a binomial distribution
-it is a continuous distribution
-every trial can result in any value for the variable
-characterized by mean mu and standard deviation sigma
-example: the distribution of men's heights in America is close to normal. ...
This solution is comprised of a complete, neat and step-by-step explanation of the difference between the binomial distribution and normal distribution as well as the five steps of hypothesis testing.