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Retour à Business Applications of Hypothesis Testing and Confidence Interval Estimation

Avis et commentaires pour d'étudiants pour Business Applications of Hypothesis Testing and Confidence Interval Estimation par Université de Rice

1,216 évaluations
207 avis

À propos du cours

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...

Meilleurs avis


5 mai 2020

The statistical concepts and methods are very well explained in an easy to understand manner. Good examples are given to demonstrate application of the cocepts and methods in business environment.


20 août 2020

This course was very useful for me. We have learnt many interesting things of statistics like t statistic, t distribution, z statistics, confidence interval, sample proportion, hypothesis etc.

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126 - 150 sur 207 Avis pour Business Applications of Hypothesis Testing and Confidence Interval Estimation

par Nazmus S S

7 janv. 2019

Professor is very good. I love this course.

par Eddy k K

24 nov. 2020


par Abeythunga, S

27 août 2020

very educational and improved my knowladge

par Songly H

29 oct. 2017

Great course, short, concise to the point!

par Prakhar S

5 juin 2017

perfect course to learn hypothesis testing

par Filipe M

9 juil. 2019

The sound in the videos should be lauder.


2 mars 2021

many things I got to know by this course

par Ernie R

4 mars 2019

Great instructor! Easy to follow along.

par Isabel

23 juin 2017

Very good structure with many examples

par Juan C D M

15 mars 2020

Great course, very clear and usefull

par Mrinal

22 juil. 2020

Excellent material and explanation

par Elizabeth N M

12 oct. 2021

Loved every aspect of this course

par Apurva G

2 mai 2020

The course was really insightful.

par Terry U

27 sept. 2018

Statistics simplified.


par Vipul R G

8 juil. 2020

Great learning, Thank you Prof.

par deathleo

27 juin 2020

Very useful tools for bussiness

par Timothy O M

14 févr. 2021

I highly recommend this course

par Anand R

17 juil. 2020

The course is well organized.

par 原野

28 déc. 2018

it is really helpful class!!!

par Yixuan W

23 août 2017

i like it, easy to understand

par Rishitesh P

20 août 2020

very nice course for Analyst

par Ponciano R

31 mai 2018

Fantastic course and teacher

par G. J J W

1 juin 2020

Amazing Journey of Learning

par Akhil G

16 janv. 2020

Excellent course good pace

par Hénock M

17 juil. 2018

very interesting course...