Frequency Distribution- Topic 2 DQ 1
QUESTION-Frequency distributions can be graphed with bar charts, histograms or polygons. Choose one variable from the “Health Behavior Data Set” and discuss which type of graph is appropriate and why. Refer to section 2.3 in the Using and Interpreting Statistics: A Practical Text for the Behavioral, Social, and Health Sciences textbook as needed for assistance.
Topic 2 DQ 1 – Classmate (Samantha) There are different types of graphs that shows frequency. It would depend on. The numbers that would indicate what graph needs to be used. Choosing which graph to use depends on whether the numbers are discrete or continuous. If the numbers are discrete, use a bar graph. If the data are continuous, use a histogram or a frequency polygon (Corty 2016). A variable from the Health Behavior Data set from our textbook is Sex. It’s labeled as a discrete variable because it’s more straight to the point than the other variables that would be considered continuous. An appropriate graph for the Sex variable would be a bar graph. Bar graphs are used to demonstrate the frequency with which the different values of discrete variables occur (Corty 2016). Another variable example with the perfect use of a bar graph could be the comparison of countries. It only takes certain values. An example for this variable and a bar graph could be comparing the number of people in teenage population (age 13-17) in each country. Its very specific and straight to the point. Bar graphs are important to help organize data. Its simple and important of seeing the comparison and variables (Ian 2010).
Corty, E. (2016). Using and interpreting statistics: A practical text for the behavioral, social, and health sciences. Worth Publishers/Macmillan Learning.
Ian. (2010, February 8). Difference between bar graph and histogram. Difference Between Similar Terms and Objects. Retrieved September 19, 2021, from http://www.differencebetween.net/science/difference-between-bar-graph-and-histogram/.
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Thank you for this remarkable opportunity to participate in this discussion. I highly appreciate you taking your time to contribute as well. I will only add a few points to your post. Frequency distributions are represented using different forms of graphs. The data set most likely influences the suitable graph to represent a given sample in a study. That is, data patterns and variables are essential in determining the appropriate graph to visualize the study.
In addition to why the bar graph is the most suitable in this case, I would like to emphasize that it is easier to show and relate values in a discrete category and the frequency with bar graphs. The bar graphs are more flexible and can interpret variables in two or more data set in a class. Summarizing data as either descriptive or inferential statistics can help decide how to graph the information.
Variables explain a lot when it comes to using graphs (Ssekitoleko, 2018). The type of a variable determines the flow of the bar graph, which can be observed once the frequency data is recorded. Therefore, it is crucial to check the data set and variables before deciding on which graph to use. Understanding the foundation of each concept’s layout helps to plot the information of the sample in a correct and precise manner that is observable and interpretable.
In comparing the teenage population in various countries, a bar graph is an efficient communication tool that presents and transfers data and information (In & Lee, 2017). The values representing the teenagers against different countries are visual enough to help readers understand the content, engage their interest, internalize and feel confident to present bulky quantities of complex data (In & Lee,2017).
In, J., & Lee, S. (2017). Statistical data presentation. Korean journal of anesthesiology, 70(3), 267. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453888/
Ssekitoleko, R. (2018). Variables and Data presentation. https://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1005&context=liberia_peer