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:

+ Understand the types of applied research and the use of statistics in applied research.
+ Know how to use a data analysis tool pack and add-ons in Excel.
+ Know how to use the basic functions in Excel.
+ Know the basic statistical terminology.
+ Calculate and report descriptive statistics for a data set.
+ Select the right inferential statistical test.
+ Understand the meaning of the term significance.
+ Use a statistical table.
+ Create a problem statement based on a research topic.
+ Create a hypothesis pair based on the problem statement.
+ Perform a Chi-square test.
+ Perform a Spearman’s Rank Correlation test.
+ Perform a t-test.
+ Perform an ANOVA test.
+ Perform a MANOVA test.
+ Perform a Regression test.

  • 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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  • Applied Research and Statistics Module Description

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

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Higher Education

+ Include in a research methodology and statistics course.

Business & Industry

+ Instruction for business researchers and analytics specialists.

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Price: $285