Week 2 – Assignment 1: Organize Data



In this week’s assignment, you will complete a problem set in which you address levels of data and types of variables. Answers to the problems must be complete and written in a formal narrative language. In addition, you will write a short essay related to data privacy.


Explain what it means to say, “variables must vary.”

List and define the four levels of measurement (using examples) discussed in this week’s introduction and resources. In your opinion, which one or more is the most appropriate for statistical analysis. Explain.

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

Identify the level of measurement for the following examples and explain why you selected the level you did for each, relying on this week’s resources for support:

Career field (e.g., accountant, production manager, etc.)

Temperature in Fahrenheit

A job satisfaction survey measured as “disagree, neutral, agree”

Total sales for a firm

Identify each of the following types of a variable (e.g., continuous versus discrete) and explain why you selected the category you did for each, relying on this week’s resources for support:

The number of workers in each department of a large organization (e.g., workers in production, sales, accounting, etc.)

The dollars of revenue earned during a fiscal year.

The number of software licenses available to employees in a firm

The average annual salary of middle managers of an organization

Length: 3 to 5 pages not including title page and reference page


References: Include a minimum of 2 scholarly resources.


Your paper should demonstrate thoughtful consideration of the ideas and concepts presented in the course and provide new thoughts and insights relating directly to this topic. Your response should reflect scholarly writing and current APA standards. Be sure to adhere to Northcentral University’s Academic Integrity Policy.

Aldrich, J. O., & Rodríguez, H. M. (2013). Building SPSS graphs to understand data. Thousand Oaks, CA: SAGE Publications, Inc

Berkman, E.T., & Reise, S.P. (2012). A Conceptual Guide to Statistics Using SPSS. Thousand Oaks, California, United States: SAGE Publications, Inc

Davis, S., & Davis, E. (2015). Data analysis with SPSS software: Data types, graphs, and measurement tendencies.

Field, A. (Academic). (2012). Editing graphs [Streaming video]. Retrieved from SAGE Research Methods

Grech, V. (2018). WASP (Write a Scientific Paper) using Excel –4: Histograms. Early Human Development, 118, 56–60

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