Voltar para Business Applications of Hypothesis Testing and Confidence Interval Estimation

4.8

566 classificações

•

83 avaliações

Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes.
This is the third course in the specialization "Business Statistics and Analysis" and the course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application. We then introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests. These are done by easy to understand applications.
To successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. Please note that earlier versions of Microsoft Excel (2007 and earlier) will not be compatible to some Excel functions covered in this course.
WEEK 1
Module 1: Confidence Interval - Introduction
In this module you will get to conceptually understand what a confidence interval is and how is its constructed. We will introduce the various building blocks for the confidence interval such as the t-distribution, the t-statistic, the z-statistic and their various excel formulas. We will then use these building blocks to construct confidence intervals.
Topics covered include:
• Introducing the t-distribution, the T.DIST and T.INV excel functions
• Conceptual understanding of a Confidence Interval
• The z-statistic and the t-statistic
• Constructing a Confidence Interval using z-statistic and t-statistic
WEEK 2
Module 2: Confidence Interval - Applications
This module presents various business applications of the confidence interval including an application where we use the confidence interval to calculate an appropriate sample size. We also introduce with an application, the confidence interval for a population proportion. Towards the close of module we start introducing the concept of Hypothesis Testing.
Topics covered include:
• Applications of Confidence Interval
• Confidence Interval for a Population Proportion
• Sample Size Calculation
• Hypothesis Testing, An Introduction
WEEK 3
Module 3: Hypothesis Testing
This module introduces Hypothesis Testing. You get to understand the logic behind hypothesis tests. The four steps for conducting a hypothesis test are introduced and you get to apply them for hypothesis tests for a population mean as well as population proportion. You will understand the difference between single tail hypothesis tests and two tail hypothesis tests and also the Type I and Type II errors associated with hypothesis tests and ways to reduce such errors.
Topics covered include:
• The Logic of Hypothesis Testing
• The Four Steps for conducting a Hypothesis Test
• Single Tail and Two Tail Hypothesis Tests
• Guidelines, Formulas and an Application of Hypothesis Test
• Hypothesis Test for a Population Proportion
• Type I and Type II Errors in a Hypothesis
WEEK 4
Module 4: Hypothesis Test - Differences in Mean
In this module, you'll apply Hypothesis Tests to test the difference between two different data, such hypothesis tests are called difference in means tests. We will introduce the three kinds of difference in means test and apply them to various business applications. We will also introduce the Excel dialog box to conduct such hypothesis tests.
Topics covered include:
• Introducing the Difference-In-Means Hypothesis Test
• Applications of the Difference-In-Means Hypothesis Test
• The Equal & Unequal Variance Assumption and the Paired t-test for difference in means.
• Some more applications...

Oct 17, 2017

Professor explains well and makes it easy to not only understand, but to remember what you learned in previous lessons even if you are going back after a long period of time between lessons.

Nov 26, 2018

I am from Applied Statistics background, and I used to do these tests by hands. I really have enjoyed doing them on Excel as well. Thanks for this amazing course! :)

Filtrar por:

por Sabarish V

•Jan 01, 2019

The content was concise and easy to understand. However, in the hypothesis testing modules, the presenter conflates "being unable to reject a hypothesis" to "accept a hypothesis". This, I think, is a dangerous habit to learn, and undermines what is otherwise a well-prepared course.

por Olga

•Jan 31, 2019

Great

por Nazmus S S

•Jan 07, 2019

Professor is very good. I love this course.

por DEEPTI C

•Jan 12, 2019

Course is very well organized and the concepts are explained in a very simple and effective way.

The weekly exercises provide a good hands on practice.

por Atis R

•Feb 22, 2019

Good

por Ernie R

•Mar 04, 2019

Great instructor! Easy to follow along.

por ARVIND K S

•Mar 15, 2019

Probably the best course on confidence intervals and hypothesis testing. A must for all engineering and management students and managers.

por Ernesto B P

•Mar 20, 2019

Very nice and easy to follow course. I have had a great experience learning the Hypothesis Testing secrets in Excel.

por sutan a m

•Mar 23, 2019

easy to follow! the rule of thumbs helps a lot, and a lot of examples.

por jittu s

•Mar 27, 2019

great course

por Emil R

•Dec 27, 2018

Great course. Excellent Instructor. Absolutely worth the time and effort.

por Rengarajan S

•Apr 08, 2019

Very useful.. learnt a whole lot of new statistical tools and techniques. Highly recommended..

por 原野

•Dec 28, 2018

it is really helpful class!!!

por Amit M

•Dec 12, 2018

The course is very helpful to learn and understand some really important and useful concepts of statistics. The course not only teach the concept but also we can practice it side by side ourselves also from the course material given by Coursera. Instructor is very good, this is my third course under a specialization by the same instructor and I must say one must take this course if they are going to use these concepts in future. Good Luck.

por Matija H

•Oct 21, 2017

Excellent and educational course for everyone interested in statistical hypothesis testing.

por Isabel

•Jun 23, 2017

Very good structure with many examples

por Davinder S

•Jul 01, 2017

Hypothesis testing is actually the most complex thing to grasp (of course after regression modeling). This course has been taught wonderfully and it will be a great help for managers out there in the field of analytics!

por Bhola P

•May 29, 2018

just go for it. This is just amazing. Loved it totally.

por shaorong Z

•Dec 17, 2017

WonderfulCourse!

por Songly H

•Oct 29, 2017

Great course, short, concise to the point!

por jorge l

•Jun 12, 2018

good class, clear and concise. thanks to well organized presentations done by the teacher

por Nchedolisa S A

•Dec 29, 2017

Lots of examples gone over step by step with the professor really helped me to hone in how to do EXCEL calculations to answer questions that require difference in means hypothesis testing! Very straightforward and loved the use of real world examples for practice

por Eric B

•Feb 11, 2017

Very detailed instructions. I learned a lot!

por Andrii K

•Apr 29, 2018

Very good course with a lot of applied examples and step by step detailed explanation.

por Kate G

•Oct 17, 2017

Professor explains well and makes it easy to not only understand, but to remember what you learned in previous lessons even if you are going back after a long period of time between lessons.

O Coursera proporciona acesso universal à melhor educação do mundo fazendo parcerias com as melhores universidades e organizações para oferecer cursos on-line.