Which is the better measure of central tendency? Why?
1. In your own words, define an independent event and a dependent event. Provide an example of each type of event (i.e., using a deck of cards, computer programming, and/or business example). Include two additional examples for your peers to classify (but do not reveal the event). Review and respond to your peers by classifying their examples and providing a reason. Check the replies to see if they are accurate.
2. The mean salary is often used to describe the salaries of employees of a company. However, the median salary may be a better measure of the salaries in comparison to the mean. Research a career you are interested in and calculate the mean and median salaries using at least ten data points. Include the calculations and the data source(s). Which is the better measure of central tendency? Why? Review and respond to the comments posted by your peers and offer your insight on this topic. Do you agree or disagree with their selection? Why or why not?
3. The number of vacation days taken by the employees of a company is normally distributed with a mean of 14 days and a standard deviation of 3 days. Is this a case of sample standard deviation or population standard deviation? What are some differences between sample standard deviation and population standard deviation? For the next employee, what is the probability that the number of days of vacation taken is less than 10 days? What is the probability that the number of days of vacation taken is more than 21 days? Discuss the solutions and an explanation.
4. Define a simple linear regression. What is/are the difference(s) between simple linear regression and a multiple regression?
Define a dependent variable. Define an independent variable.
Example: A real estate agent likes to predict the selling price of a home based on several variables: size, location, condition, # of bedrooms, etc.
Based on the example, what is/are the independent variable(s)? What is/are the dependent variable(s?)
Provide two examples of situations in business, or your field, when regression is used. Explain each situation in detail.
