. Explain the different techniques of probability
sampling and non-probability sampling and provide an example for
each type.
The student has to provide an example for each
type.
Explain Central Limit Theorem.
What is the sampling distribution of the mean?
Explain the differences between a discrete random variable and a
continuous random variable.
Select one type of Probability sampling discussed in your
textbook and provide an example of how you could use this sampling
strategy to conduct a research study. What would be the strengths
and weaknesses of your selected strategy in terms of external
validity and sampling error?
Activity One: Sampling Distribution and Central Limit
Theorem
In each situation, nominate whether the sampling distribution of
the sample mean can be assumed to be normally distributed or
not?
The population age is normally distributed, with a mean of 45
years and standard deviation of 12 years. These statistics are
based on 25 observations.
The population sales are uniformly distributed, with a mean of
$600 and standard deviation of $2. These statistics are based on 12
observations.
The population time...
When can the Coase Theorem properly handle a situation where an
externality exists? Provide an example.
In what types of situations can the Coase Theorem not properly
handle an externality? How can they be addressed instead?