Explore BrainMass

# Correlation vs. Causation

Not what you're looking for? Search our solutions OR ask your own Custom question.

This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here!

Share the practical applications of the study from the Unit 2 Individual Project.

1. How would the results of this survey be used in the workplace?
2. Briefly describe correlational research.
3. Name a variable from this study and one from the workplace that might prove to provide a correlational relationship and explain why you would choose these two?
4. What did you learn about correlation and causation while completing the course?

The example is from the unit 2 project please show as much work as possible.

Thanks.

Â© BrainMass Inc. brainmass.com November 24, 2021, 12:16 pm ad1c9bdddf
https://brainmass.com/statistics/correlation/correlation-vs-causation-83393

#### Solution Preview

Please see response attached, also presented below.

RESPONSE:

Let's take a closer look at the following questions through discussion and examples from your Unit 2 project file attached.

1. Share the practical applications of the study from the Unit 2 Individual Project. How would the results of this survey be used in the workplace?

I take it that this is your project from Unit 2. The probabilities can be used to increase the opportunities in hiring more satisfied employees by looking into several factors such as the tenure of the current employees. The factors that you included in your project can lead to the explanation of our current level of satisfaction e.g. particular department, age group, gender or tenure. However, we must remember that we could inadvertently violate or be guilty of discrimination if we use any biased information for the purpose of hiring.

In business, probabilities are used for measuring the occurrence of an event. This process with overall statistics can help businesses make better decisions. (Homeubalt 2006) For example, from the 288 Data Points, the tenure distribution points for male for the following tenure segments is: 79 Males stayed for less than 2 years. 26 males stayed for 2 to 5 years and 15 males stayed for more than 5 years. 91 females stayed for less than 2 years, 42 females stayed for 2 to 5 years and 35 females stayed for more than 5 years. One might conclude that women (n=35) are over twice as likely as men (n=15) to stay longer than five years. Perhaps this could impact business decisions about promotions and training. However, it is important to NOT inadvertently violate or be guilty of discrimination ...

#### Solution Summary

In reference to a study, this solution discusses how the results of this survey can be used in the workplace. It briefly describes correlational research, naming a variable from this study and one from the workplace that might prove to provide a correlational relationship, and why. What might be learned about correlation and causation while completing the course, as well as making distinctions between correlation and causation are also examined.

\$2.49