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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Introduction to Statistical Hypothesis Testing certification course provides a comprehensive understanding of hypothesis testing, a critical aspect of data analysis. Through practical applications and theoretical foundations, students learn to evaluate postulates empirically, covering topics like null hypotheses, significance levels, and hypothesis tests for averages, variability, proportions, and regression analysis.

With the Introduction to Statistical Hypothesis Testing certification by NPTEL, learners delve into advanced concepts like constructing confidence regions and intervals. By mastering hypothesis testing techniques, students acquire the skills to make informed decisions and draw meaningful conclusions from empirical data, enhancing their analytical capabilities across diverse domains.

The Highlights

Online Course
Offered by IIT Madras
1 month course duration

Programme Offerings

Certificate of completion
Practical Learning
Hands-on Experience

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 1000	yes	IIT Madras

The Introduction to Statistical Hypothesis Testing certification fees is free. However, if you want a certificate, you must register and take the proctored exam at designated centers, which is optional and comes with a fee of Rs 1000.

Introduction to Statistical Hypothesis Testing Certification Fee Structure

Particulars	Total Fees
Introduction to Statistical Hypothesis Testing (exam)	Rs 1000/-

Eligibility Criteria

Academic Qualifications

You need to have a basic understanding of probability and statistics before taking the Introduction to Statistical Hypothesis Testing certification course.

Certification Qualifying Details

To receive the Introduction to Statistical Hypothesis Testing certification by NPTEL, you need a minimum average assignment score of 10/25 and an exam score of 30/75.

What you will learn

After completing the Introduction to Statistical Hypothesis Testing certification syllabus, you will learn the fundamental principles and practical applications of statistical hypothesis testing. You will also gain a solid understanding of how to formulate null and alternative hypotheses, determine significance levels, and identify different types of errors that can occur during hypothesis testing.

Upon completion of the Introduction to Statistical Hypothesis Testing training, you will explore various hypothesis tests commonly used in statistical data analysis, including tests for comparing averages, assessing variability, examining proportions, and conducting significance testing in regression analysis.

Who it is for

The Introduction to Statistical Hypothesis Testing online course is suitable for individuals working in fields requiring data analysis, such as finance, economics, psychology, and healthcare. This course can also be beneficial for:

Admission Details

Follow these steps to join the Introduction to Statistical Hypothesis Testing classes:

Step 1: Browse the URL below:

https://swayam.gov.in/NPTEL

Step 2: Click on the “Sign-in/ Register” button

Step 3: Log in using a Google account-enabled email address

Step 4: Select your preferred course. Review the course details and fill out the required fields

Step 5: Click on the "Join" button

The Syllabus

Introduction
Foundations of Hypothesis Testing
Hypothesis Testing in Data Analysis
Construction of Confidence Regions and Advanced Concepts

Evaluation process

The Introduction to Statistical Hypothesis Testing certification offers an optional exam. Your final score is determined by averaging the best 8 out of 12 assignments (25%) and your proctored exam score (75%).

Instructors

IIT Madras Frequently Asked Questions (FAQ's)

1: What is statistical hypothesis testing, and why is it important?

It is a method used to make inferences about population parameters. It is crucial because it allows researchers to conclude, make decisions, and test theories using empirical evidence.

2: What prerequisites do I need for the Introduction to Statistical Hypothesis Testing online course?

A basic understanding of probability and statistics is recommended before taking this course. Familiarity with concepts such as probability distributions, descriptive statistics, and inferential statistics will be beneficial.

3: What practical skills will I gain from the Introduction to Statistical Hypothesis Testing training?

You will develop practical skills such as formulating null and alternative hypotheses, conducting various hypothesis tests, interpreting significance levels, constructing confidence intervals, and analysing regression models.

4: How will the Introduction to Statistical Hypothesis Testing certification benefit my career or academic pursuits?

This course will enhance your analytical skills and understanding of statistical techniques, making you more proficient in data analysis. It will also prepare you for careers in various related fields.

5: Is the Introduction to Statistical Hypothesis Testing online course suitable for beginners in statistics?

While a basic understanding of probability and statistics is recommended, the course provides clear explanations and examples to help beginners grasp the concepts effectively.