Exploring the different types of graphs used to visualize data. Results from both Excel and SPSS should be copied and pasted into a Word document.

1. Explain the concept of a random variable. Explain what it means to say, "Variables must vary." Why is the concept of variables important for learning statistics?

2. List and define the four levels of measurement. Which one or more is the most appropriate for statistical analysis? Explain answer.

3. Compare and contrast the characteristics of continuous and discrete variables. What is a common challenge of trying to calculate statistics using discrete variables?

4. Identify example variables from one's professional and personal life at each level of measurement. Explain why one would select the group you did for each, relying on this lesson's resources for support.

5. Identify at least 4 (two of each) discrete and continuous variables from your one's professional or personal life and explain why one should select the category you did for each.

6. Use the provided datasets for building one of each of the four chart types below. For each chart, select a variable from the provided dataset with a measurement level that is best visualized by that chart type. Each graph must contain a narrative description of what it represents and an interpretation of the image. Use this narrative and the graph to tell a story with your data.

• Pie chart
• Bar chart
• Scatterplot
• Histogram

7. NB. Please provide five scholarly references