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Business Applications of Hypothesis Testing and Confidence Interval Estimation (으)로 돌아가기

??? ???의 Business Applications of Hypothesis Testing and Confidence Interval Estimation 학습자 리뷰 및 피드백

624개의 평가
93개의 리뷰

강좌 소개

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...

최상위 리뷰


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.

필터링 기준:

Business Applications of Hypothesis Testing and Confidence Interval Estimation 의 92개 리뷰 중 51~75

교육 기관: Qianxian W

Aug 19, 2017

Very clear teaching and rewarding exercises.

교육 기관: Eric B

Feb 11, 2017

Very detailed instructions. I learned a lot!

교육 기관: Nazmus S S

Jan 07, 2019

Professor is very good. I love this course.

교육 기관: Songly H

Oct 29, 2017

Great course, short, concise to the point!

교육 기관: Prakhar S

Jun 05, 2017

perfect course to learn hypothesis testing

교육 기관: Filipe M

Jul 09, 2019

The sound in the videos should be lauder.

교육 기관: Ernie R

Mar 04, 2019

Great instructor! Easy to follow along.

교육 기관: Isabel

Jun 23, 2017

Very good structure with many examples

교육 기관: Juan C D M

Mar 15, 2020

Great course, very clear and usefull

교육 기관: Terry N U

Sep 27, 2018

Statistics simplified.


교육 기관: 原野

Dec 28, 2018

it is really helpful class!!!

교육 기관: Yixuan W

Aug 23, 2017

i like it, easy to understand

교육 기관: Ponciano R

May 31, 2018

Fantastic course and teacher

교육 기관: Akhil G

Jan 16, 2020

Excellent course good pace

교육 기관: MONTCHO H M

Jul 17, 2018

very interesting course...

교육 기관: Elsayed k

Jan 04, 2020

great knowledge included

교육 기관: Victoria P

Apr 24, 2019

Favorite course so far

교육 기관: Viktoryia A

Feb 18, 2018

very knowledgeable.

교육 기관: shaorong Z

Dec 17, 2017


교육 기관: EDILSON S S O J

Jun 03, 2019

Very useful!!!

교육 기관: Esther K

Aug 15, 2018

Great course!

교육 기관: Afonso A R

Dec 04, 2019

Very useful!

교육 기관: Marc-Aurelien N

Aug 21, 2019

Just great !

교육 기관: jittu s

Mar 27, 2019

great course

교육 기관: 郭婉莹

Aug 23, 2017

Nice course!