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Research Biostatistics-Level I: Essential Fundamentals
Rating: 5.0 out of 5(5 ratings)
27 students

Research Biostatistics-Level I: Essential Fundamentals

Statistics which describe data
Created bySameh Eldaly
Last updated 8/2025
Arabic
Arabic [Auto],

What you'll learn

  • Understand descriptive statistics: Learn how to calculate and interpret percentages, mean, median, mode, and standard deviation in research data
  • Recognize data distribution patterns: Identify normal vs. skewed distributions and determine the appropriate statistical measure (mean vs. median) to use
  • Interpret inferential statistics: Gain the ability to interpret confidence intervals and p-values to assess the significance and reliability of research finding
  • Develop critical appraisal skills: Learn how to evaluate the proper use of statistical methods in research papers and avoid common misinterpretations of data

Course content

1 section • 8 lectures • 1h 5m total length
  • Introduction2:43
  • Percentages in Biostatistics9:17
  • Means in Biostatistics12:04
  • Median in Biostatistics7:06
  • Mode in Biostatistics3:02
  • Standard Deviation in Biostatistics12:06
  • Confidence Interval (CI)14:04
  • P-Value5:33

Requirements

  • No prior advanced knowledge of statistics required – the course starts from the fundamentals.

Description

Research Biostatistics – Essential Fundamentals (Part I) is an introductory course designed to provide students and researchers with the core statistical concepts necessary for understanding, analyzing, and interpreting research data in health and medical sciences.

This course covers descriptive statistics such as percentages, mean, median, mode, and standard deviation, and explains how these measures summarize and represent data. Practical examples are included throughout the course to demonstrate how these concepts are applied in research, particularly in medical and physical therapy studies, epidemiology, and broader healthcare investigations.

Hands-on sessions with SPSS will guide learners in performing statistical tests, interpreting results accurately, and avoiding common pitfalls in data analysis. The course emphasizes both theoretical understanding and practical application, enabling participants to build confidence in their ability to manage and analyze real-world datasets effectively.

By the end of the course, participants will be able to:

  • Understand and calculate key descriptive statistics.

  • Differentiate between normal and skewed data distributions.

  • Interpret confidence intervals and p-values in research findings.

  • Select and apply appropriate statistical tests for different study designs.

  • Critically evaluate the use of statistics in scientific literature and healthcare research.

This course is ideal for students, early-career researchers, and healthcare professionals who wish to strengthen their foundation in biostatistics and enhance their ability to conduct, analyze, and evaluate research effectively and with greater accuracy.

Who this course is for:

  • Undergraduate and postgraduate students in health sciences, physical therapy, medicine, nursing, and allied health fields who are starting to engage in research.