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Apply Hypothesis Testing with Minitab for Data Analysis

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Apply Hypothesis Testing with Minitab for Data Analysis

This course is part of Minitab Applied Statistics & Hypothesis Testing Mastery Specialization

Instructor: EDUCBA

Included with

Learn more

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Analyze real-world datasets using correlation and regression in Minitab.
Formulate and test statistical hypotheses using p-values and confidence intervals.
Interpret statistical results to support data-driven decisions.

Skills you'll gain

Tools you'll learn

Statistical Software

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Minitab Applied Statistics & Hypothesis Testing Mastery Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

Learners will analyze real-world datasets using Minitab, apply correlation and regression techniques, formulate and test statistical hypotheses, and interpret p-values and confidence intervals to make data-driven decisions. By the end of this course, learners will confidently evaluate statistical evidence and translate analytical results into meaningful conclusions.

This course offers a hands-on, practical approach to hypothesis testing using Minitab, designed for learners who want to move beyond theory and apply statistics in real scenarios. Through a guided project, learners explore data relationships, perform exploratory analysis, and progressively build skills in hypothesis testing—from defining null and alternative hypotheses to executing tests and interpreting results. Each concept is reinforced through step-by-step demonstrations, practical examples, and applied decision-making exercises. What makes this course unique is its project-driven structure, software-focused learning, and clear linkage between statistical concepts and business interpretation. Rather than focusing on formulas alone, learners gain practical experience using industry-relevant tools and workflows. This course is ideal for students, quality professionals, analysts, and engineers seeking to apply hypothesis testing confidently using Minitab in real-world data analysis tasks.

Module details

This module introduces learners to the practical application of statistical analysis using Minitab by establishing project context, exploring relationships between variables, and building a strong foundation in hypothesis testing. Learners will analyze real-world data, interpret correlation and regression results, and understand how exploratory analysis leads to formal statistical decision-making.

What's included

4 videos3 assignments

This module focuses on executing and interpreting hypothesis tests using Minitab. Learners will apply statistical testing procedures, understand the role of summary statistics and confidence intervals, formulate and evaluate null hypotheses, and use p-values to make evidence-based decisions in practical data analysis scenarios.