Practical Applications of Hypothesis Testing
Description
This training focuses on one-way analysis of variance (ANOVA) techniques, which enable more than two treatments or groups to be compared simultaneously. Assumptions of one-way ANOVA include normal distribution of dependent variables, equal standard deviations, and group independence. Variation occurs between and within the groups.
Purpose
Through Practical Applications of Hypothesis Testing, you will be able to determine if there are significant differences between the means of more than two groups or treatments.
$395 (Fee covers training materials)
May 23, 25, and 29 2026 10:00 am -12:00 pm MT
Expected Learning Outcomes
By the end of this training, you will be able to
apply hypothesis tests for a single mean and a single proportion;
apply hypothesis for two means (independent and paired/matched samples);
explain chi-squared test and ANOVA;
explain the principle behind post-hoc analysis; and
discuss the importance of Type I and Type II errors.
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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Why this course
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