Intermediate Statistical Concepts

Intro

Intermediate Statistical Concepts is the second course in the three-course Statistics for Non-Statisticians knowledge track. This course builds upon Basic Statistical Concepts by exploring two group comparisons with measured, categorical or ordinal data from either paired or unpaired experimental structures.

What You'll Learn

• How to present and summarise categorical data

• How to present and summarise ordinal data

• How to engage with paired experimental designs and tests

This course consists of the following three modules:

1. Present and Summarise Categorical Data

2. Ordinal Data

3. Paired Experimental Designs and Tests

By the end of this course, learners will be able to:

✓ Present and summarise categorical data

✓ Test for a difference in proportions and describe effect sizes

✓ Use the Mann-Whitney test and describe effect size

✓ Present, describe and test correlated data

✓ Use and present results of tests with paired samples

Who It's For

These courses are particularly relevant for researchers and academics who have limited experience working with statistical concepts.

Get Prepared

We recommend you complete Basic Statistical Concepts before starting this online course.

This knowledge track explores PSPP, a free software application for the analysis of sampled data. We provide downloadable data sets for PSPP, so you can apply your skills within the application immediately.

This knowledge track also includes practical, interactive worksheets. To engage with the course fully, we recommend you use a laptop.

Course Expert(s)

Dr. Philip Rowe

Dr. Philip Rowe is an author and former lecturer from Liverpool John Moores University, where he acted as academic faculty for more than 25 years. Throughout his career, he has taught clinical statistics, pharmacokinetics, and epidemiology to students and outside bodies (Professional and industrial).

He has analysed data in the fields of quantitative structure-activity relationships, pharmaceutical science, and pharmacy practice. He enjoys teaching mathematically based subjects to non-mathematicians in the biosciences in higher education and industry. His specialties include clinical statistics, pharmacokinetics, and epidemiology.

Programme

The Statistics for Non-Statisticians knowledge track supports academics and researchers with foundational statistical skills and processes to support quantitative data analysis.

The programme includes the following online courses:

Enrol in the full online programme now to get a 20% discount on all courses above!