Types of Variables, Plots, and Graphs
Description
A variable is a fundamental concept in statistics, mathematics, and research. It refers to any characteristic, number, or quantity that can be measured or quantified and that can change or vary across individuals, groups, or over time. Variables are central to data collection and analysis because they represent the data points that are studied to understand relationships, make predictions, and draw conclusions.
Purpose
Types of variables, plots, and graphs are fundamental for anyone who wants to understand the sources and various data types applied in the field of biostatistics. Furthermore, the features underpinning experimental design would be explored and how to measure the effect of a treatment as precisely as possible using minimum resources. Resources include time and number of experimental subjects.
$195 (Fee covers training materials)
May 1 and 2, 2026 10 am-12 pm MT
Expected Learning Outcomes
By the end of this training, you will be able to
explain various variables, their usage, and how to summarize data;
interpret and distinguish between various types of graphs and plots; and
measure the effect of a treatment with minimum resources.
Target Learners
This training program is designed for individuals or groups of people who work in clinical settings, academia, pharmaceutical industries, Government, corporations, nonprofit organizations, and organizations that work on biological data.
Learning Approach
Programs are delivered through live online interactive sessions with seasoned instructors having vast experiences in academia. Contents are well structured and manageable with self-paced learning activities and exercises. Our approach provides learners opportunities for hands-on practice, asking questions, investigating problems, and applying their knowledge to solve complex scenarios or real-world problems. In the end, learners develop deeper understanding, critical thinking, and problem-solving skills.
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