Applied Research and Statistics


Applied research projects in industry and in higher education are typically structured around a research approach that includes a topic, problem statement, research questions, hypotheses, statistical testing, and analysis of the results. Quantitative, case study, and mixed methods research approaches typically follow this scientific method for research.

The purpose of this module is to teach the scientific methodology for applied research and the use of statistics for hypothesis testing.

This module is designed for anyone involved in applied research including thesis students, doctoral students, and applied researchers.

Module Length: 22-25 Learner Hours

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Applied Research and Statistics Learning Outcomes


Throughout the course of this module, learners can expect to meet the following learning outcomes:

+ Describe the types of applied research and the use of statistics in applied research.
+ Use a data analysis tool pack and add-ons in Excel.
+ Apply the basic functions in Excel.
+ Calculate and report descriptive statistics for a data set.
+ Select the right inferential statistical test.
+ Apply the meaning of significance in a statistical result.
+ Create a problem statement based on a research topic.
+ Create a hypothesis pair based on the problem statement.
+ Perform the following statistical tests: Chi-square, Spearman’s Rank Correlation, t-Test, ANOVA, MANOVA, and Regression.

  • Applied Research and Statistics Syllabus

    This document is the syllabus for the Applied Research and Statistics module. The syllabus lists the instructional topics, learning outcomes, and organization for the module.

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+ Integrate into a research methodology and statistics course.
+ Academic leveling for learners who may not have adequate preparation for advanced studies in statistics or analytics
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+ Professional development for continuing education or refresher of skills.

  • Applied Research and Statistics Module Description

    This document provides a description of the Applied Research and Statistics module.

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