Hypothesis (Inferential statistics): A practical approach

👩‍🏫 Unlock the World of Inferential Statistics with "Hypothesis: A Practical Approach" 🚀

Course Description:

Welcome, aspiring data analysts and curious minds, to our comprehensive online course on Understanding Hypothesis (Inferential Statistics), meticulously crafted by the seasoned expert, Parag Dadee. This course is designed to demystify the complex world of inferential statistics and equip you with practical skills that can be applied across various industries, from manufacturing to services. 🔬✨

What You'll Learn:

📚 Section-1 (Introduction to Hypothesis):

• Lecture 1- Introduction - Your gateway into the realm of hypothesis testing.
• Lecture 2- What is Hypothesis - Understanding the fundamental concept and its significance.
• Lecture 3- Key terms in Hypothesis testing - A glossary of essential terms to navigate hypothesis testing confidently.
• Lecture 4- What is P-Value - Discover how this crucial statistic informs your decisions.
• Lecture 5- Type 1 and Type-2 errors - Learn to recognize and avoid common pitfalls in hypothesis testing.

📈 Section-2 (Normal Distribution and Types of Data):

• Lecture 6- Understanding Normal distribution - Explore the bell curve that underpins much of inferential statistics.
• Lecture 7- Standard Normal distribution and concept of Z-value - Master the standard deviation scale that normalizes data.
• Lecture 8- Understanding different types of Data - Recognize and categorize various types of data sets you'll encounter.

🧪 Section-3 (Types of Hypothesis tests and introduction to Minitab):

• Lecture 9- Types of Hypothesis tests - A comprehensive overview of the different types of hypothesis tests.
• Lecture 10- Introduction to Minitab - Get acquainted with this powerful statistical software that will be your tool for analysis.
• Lecture 11-Simple test for normality using Minitab - Learn to verify if your data meets the criteria for hypothesis testing.

📊 Section-4 (Performing different types of Hypothesis tests using Minitab): This section covers a wide array of hypothesis testing scenarios, including:

• Lecture 12- One sample Z test - Understand how to test a single population mean when the data is normally distributed.
• Lecture 13- One sample T test - Learn to apply the T-test when the data may not be perfectly normal.
• Lecture 14-One sample % defective test - Discover how to test for defect rates in a sample of goods or services.
• Lecture 15-Two sample T test - Compare the means of two independent groups using this fundamental test.
• Lecture 16-Paired T test - Analyze matched pairs of data to determine if there's a significant difference.
• Lecture 17-One way ANOVA test - Explore how to compare the means of three or more groups simultaneously.
• Lecture 18- Two sample % defective test - Learn to assess whether two sets of data have different defect rates.
• Lecture 19-Chi-square test for association - Understand if there's a significant relationship between categorical variables.
• Lecture 20-Correlation and Correlation Coefficient - Delve into the relationship between two variables.
• Lecture 21- Simple Linear Regression and Multiple Linear Regression - Predict outcomes using linear regression models.
• Lecture 22-Regression Model using Minitab - Apply your knowledge of correlation to create a regression model in Minitab.

Section-5 (Correlation and Regression):

• Lecture 20-What is Correlation and Correlation Coefficient - Uncover the secrets behind how variables relate to each other.
• Lecture 21- Simple Linear Regression and Multiple Linear Regression - Learn to predict outcomes with regression analysis.
• Lecture 22-Regression Model using Minitab - Practice building a regression model using real-world data in Minitab.

Course Highlights:

• Simplified delivery and easy grasp of concepts for all learners.
• Practical, hands-on approach with a focus on application in real-world scenarios.
• Step-by-step guidance through the use of Minitab, a widely-used statistical software.

Your Instructor:

Parag Dadee brings over two decades of experience in data analysis and statistics to this course. His approach is rooted in making complex concepts accessible and his teaching style reflects a deep commitment to student understanding and engagement. 🎓

Join Us:

Enroll now and embark on a journey through the fascinating world of hypothesis testing, correlation, and regression. Gain the skills that will set you apart as a data analyst or statistician, and add value to your organization or research endeavors. 🚀

Don't miss this opportunity to master inferential statistics with Understanding Hypothesis (Inferential Statistics). Sign up today and transform your data into insights! 📋