What you'll learn
Understanding about Concept, terminology of Hypothesis Testing
Hypothesis Testing using Excel (Quickest Way of Hypothesis Testing)
Understanding about Type and Process of Hypothesis Testing in different situation
Student will learn different real life situation and Business Case of Hypothesis Testing
Selection of Appropriate Test (Easy Tricks and Techniques for selection of Appropriate Test )
A thorough understanding of the concepts of Hypothesis Testing with lot of practical/Numerical examples
Use of hypothesis Testing in your Research Project, Dissertation and PhD Thesis
Course will improve your academic performance for your research course or Statistics course
Requirements
No prior knowledge of statistics
No Special software is required
Do not Worry, if you don't Have any prior knowledge of Statistics. We will start from scratch.
Description
Easy and Quickest way to learn "Hypothesis Testing" will help you to understand the concept of hypothesis testing and application of hypothesis Testing in your Research Project, Dissertation and Thesis with the help of MS Excel. It is also useful for your exam.Easy and Quickest way to learn "Hypothesis Testing" using Ms Excel is sensibly designed for the researcher and students of social science who are struggling with Data analysis /Statistics. This course will give guidelines about how to test hypothesis in your Research Project, Dissertation and Thesis with the help of MS Excel. The Course will improve your academic performance for your research course or Statistics course.Do not Worry, if you don't Have any prior knowledge of Data Analysis/Statistics. We will start from scratch.The Course Contain 3 hour 30 minutes of video lectures.
Overview
Section 1: Introduction
Lecture 1 About Instructor
Lecture 2 Hypothesis and Types of Hypothesis
Lecture 3 Population Mean and Sample Mean
Lecture 4 One Tailed Test, Two Tailed Test
Lecture 5 Critical Value and Z Critical Value
Lecture 6 T Critical Value
Lecture 7 Introduction to 05 Easy Step of Hypothesis Testing
Lecture 8 Type I Error and Type II Error
Lecture 9 Parametric Test Vs Non Parametric Test
Section 2: Introduction to One Sample (Mean) Test
Lecture 10 Introduction - Hypothesis Testing: One-Sample Tests
Lecture 11 Solved Example No 01 - One Sample Z Test for Two Tailed Test
Lecture 12 Solved Example No 02 - One Sample Z Test for Right Tailed Test
Lecture 13 Solved Example No 03 - One Sample Z Test for Left Tailed Test
Lecture 14 Solved Example No 04 - P Value Approach for Hypothesis Testing
Lecture 15 Solved Example No 05 - Interval Approach - Connection Between Two Tail
Lecture 16 Solved Example No 06 - One Sample T Test for Two Tailed Test
Lecture 17 Solved Example No 07 - One Sample T Test for One Tailed Test
Section 3: Two Sample Test
Lecture 18 Population Means, Independent Samples (Mean 1 vs. Mean 2)
Lecture 19 Population Means, Related Samples (Same group before vs. after treatment)
Lecture 20 Population Proportions (Proportion 1 vs. Proportion 2)
Lecture 21 Population Variances (Variance 1 vs. Variance 2)
Section 4: ANOVA - Analysis of Variance
Lecture 22 Introduction - ANOVA
Lecture 23 Solved Example No 01 - ANOVA
Lecture 24 Solved Example No 02 - ANOVA
Section 5: Chi Square Test
Lecture 25 Introduction - Chi Square
Lecture 26 Solved Example No 01 Chi Square Test
Lecture 27 Solved Example No 02 Chi Square Test
Lecture 28 Solved Example No 03 Chi Square Test
Section 6: Hypothesis Testing Using Excel
Lecture 29 Hypothesis Testing Using Excel 01 - Two Sample Independent T Test
Lecture 30 Hypothesis Testing Using Excel 02 - Related Sample Test /Paired Sample Test
Lecture 31 Hypothesis Testing Using Excel 03 - ANOVA
Lecture 32 Hypothesis Testing Using Excel 04 - 04. Z Test One Sample Mean
Lecture 33 Hypothesis Testing Using Excel 05 - 05. T Test one Sample Mean
Researchers of various field working on their Project, Dissertation and Thesis,Graduate and Post Graduate Student of Social Science (Bcom, Mcom, BBA, MBA),PhD Research Scholar


Homepage

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