Get updates on Eligibility, Admission, Placements Fees Structure
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 (IITM) |
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 (IITM) Frequently Asked Questions (FAQ's)
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.
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.
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.
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.
While a basic understanding of probability and statistics is recommended, the course provides clear explanations and examples to help beginners grasp the concepts effectively.