reviewing of a provided article and answering the questions.

Post ID: 3060212

Instructions

Part 1:

Your instructor will provide you with a scholarly article. The article will contain at least one graph and/or table.

Part 2:

Title your paper: “Review of [Name of Article]”
State the Author:
Summarize the article in one paragraph:
Post a screenshot of the article's frequency table and/or graph.
Example:
Frequency Distribution -OR- Graph
Answer the following questions about your table or graph.
1. What type of data does the graph, chart, or table from your screenshot above display (Quantitative or Qualitative data)?
  1. Explain how you came to that conclusion.
2. What type of graph, table, or chart did you choose from your screenshot above display (bar graph, histogram, stem & leaf plot, etc.)?
  1. What characteristics make it this type (you should bring in material that you learned in the course)?
3. Describe the data displayed in your graph, table, or chart from your screenshot above. What is the graph displaying in the context of the article?
4. Draw a conclusion about the data from the graph, table, or chart from your screenshot above in the context of the article. Make an inference based on the data displayed.
5. How else might this data have been displayed?
  1. Pick two alternate graphs/charts/tables that could be used to display the same data as your selected chart/graph/table from your screenshot above. List the pros and cons of these alternative graphs.
  2. Explain how the graphs/charts/tables that you selected above (Part E) would be structured to display the data in the article.
Give the full APA reference of the article you are using for this lab.
Be sure your name is on the Word document, save it, and then submit it under "Assignments" and "Week 3: Lab".

Requirements

The deliverable is a Word document with your answers to the questions posed above based on the article you were assigned.

Outcomes

CO 1: Given scenarios supported by population data, apply sampling techniques and explain potential pitfalls and bias in data collection. CO 2: Given datasets with qualitative and quantitative data, differentiate between the types of data and how they can be applied in statistical studies for everyday life.