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Business Applications of Hypothesis Testing and Confidence Interval Estimation , Университет Райса

Оценки: 419
Рецензии: 60

Об этом курсе

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...

Лучшие рецензии

автор: KG

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.

автор: ST

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! :)

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Рецензии: 58

автор: Olga

Jan 31, 2019



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.

автор: Nazmus Sakib Sumon

Jan 07, 2019

Professor is very good. I love this course.

автор: Sabarish Vadarevu

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.

автор: 原野

Dec 28, 2018

it is really helpful class!!!

автор: Emil Rogers

Dec 27, 2018

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

автор: Amit Mittal

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.

автор: Gregory R. Gray Jr.

Nov 28, 2018

Thumbs Up!

автор: Shady Nasrat Samuel Tawfik

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! :)

автор: Aline Charles

Nov 24, 2018

Well designed and usefull. A good investment