Description
This week you will revisit some basic concepts from previous biostatistics classes in order to understand and manipulate data. As you know, databases contain values organized in one or multiple variables. Those variables have different characteristics that will not only help you to classify data, but also help you decide what type of analyses could be performed. Therefore, learning how to identify, manipulate, and analyze the different variables in your database will prove to be an invaluable task in your data analysis processes.
For this week’s Discussion, you will evaluate the classification of variables as categorical.
To prepare:
- Select two categorical variables from the data sets provided for the Scholar-Practitioner Project.
- Consider why the researchers may have chosen to make them categorical variables and decide whether you would have made the same classification.
Post an evaluation of the two variables you selected. Include the following in your post:
- A brief description of the two categorical variables you selected from the database
- An explanation of why you believe the variables were created as categorical variables instead of continuous variables
- An explanation of whether you believe this is a correct classification for this study (provide a rationale)
Support your post with the Learning Resources and current literature. Use APA formatting for your Discussion and to cite your resources.
Explanation & Answer
Attached.
Running head: CATEGORICAL VARIABLES
Categorical Variables
Student’s Name
Institutional Affiliation
1
CATEGORICAL VARIABLES
2
Categorical Variables
Categorical variables in statistics are elements that take a single and usually fixed
attributes of possible values, which assign each individual observation a particular nominal
category. Often, researchers use categorical variables qualitatively to represent names or labels in
statistical work. According to Zikmund, Babin, Carr, and Griffin (2013), a categorical variable
illustrates the membership of some group often used to represent quantities that only take a small
number of value such as one, two or three.
Selected Categorical Variables
The selected categorical variables from the housing dataset for Hawaii are variables BDS
representing the number of bedrooms in a house and the variable HFL denoting the house
heating fuel used in the selected housing unit.
Description of the Categorical Variables
The categorical element BDS that entai...
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