Business Applications of Hypothesis Testing and Confidence Interval Estimation に戻る

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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.

Jun 09, 2019

A rewarding experience because I have been able to learn very valuable information. It is an excellent course. It has helped me in the personal and professional field. Thank you.

フィルター：

by Bhola P

•May 29, 2018

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

by shaorong Z

•Dec 17, 2017

WonderfulCourse!

by Prakhar S

•Jun 05, 2017

perfect course to learn hypothesis testing

by Songly H

•Oct 29, 2017

Great course, short, concise to the point!

by jorge l

•Jun 12, 2018

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

by 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

by Eric B

•Feb 11, 2017

Very detailed instructions. I learned a lot!

by Noro B

•Jun 12, 2017

great course to learn statistics and advacend excel

by Chandrasekaran R

•Oct 15, 2017

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by 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!

by abhinav k

•Mar 10, 2017

Very Nice course. Easy to understand and practice.

by Damilola D

•May 23, 2018

This was a helpful course. I can't wait to apply it at workl

by 郭婉莹

•Aug 23, 2017

Nice course!

by Ronald P N

•Apr 16, 2017

An excellent course. Useful for researchers in other disciplines as well, such as social scientists, clinicians etc. The concepts were presented very clearly, and the exercises allow one to gauge one's understanding of the concepts and how to use Excel for those statistical studies.

by Manish A

•Apr 17, 2018

A very insightful and detailed course on Hypothesis Testing

by Wellington G S

•Sep 14, 2017

In depth course regarding hypothesis testing. Even better than the course I had in my degree.

by Viktoryia A

•Feb 18, 2018

very knowledgeable.

by Linh P

•Mar 07, 2017

Great course

by Qianxian W

•Aug 19, 2017

Very clear teaching and rewarding exercises.

by Andrii K

•Apr 29, 2018

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

by 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.

by Oliver W

•Jan 28, 2018

An incredibly good course. Having studied business statistics years ago I needed a refresher and this was just the ticket.

by Ponciano R

•May 31, 2018

Fantastic course and teacher

by Tim L

•May 27, 2018

This is the class where it really started to get interesting.

by Arushi S

•Jun 23, 2017

concept was very nicely explained. The excel examples were very helpful