Basic Statistical Concepts

Intro

Basic Statistical Concepts is the first course in the three-course Statistics for Non-Statisticians knowledge track. This course starts with the absolute basics and lays a strong foundation for your journey with statistical analysis.

What You'll Learn

• How to present and describe measured data

• How to perform a two-sample t-test

• How to interpret statistical significance

This course consists of the following three modules:

1. Presenting and Describing Measured Data

2. Performing a Two-Sample T-Test

3. Interpreting Statistical Significance

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

✓ Present and describe continuous measured data

✓ Appropriately apply and interpret the results of a two-sample t-test

✓ Use sample size variation techniques

✓ Differentiate between practical significance and statistical significance

✓ Interpret statistical significance

Who It's For

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

Get Prepared

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!