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学生对 Rice University 提供的 Business Applications of Hypothesis Testing and Confidence Interval Estimation 的评价和反馈

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课程概述

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...

热门审阅

AU

May 5, 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.

MR

Aug 20, 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 - Business Applications of Hypothesis Testing and Confidence Interval Estimation 的 150 个评论（共 227 个）

创建者 Ksenia S

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Dec 26, 2020

Great course with good explanation and examples.

创建者 Roxanna J Z P

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Feb 11, 2021

Great course! Great explanations of the topics.

创建者 Dr. G S

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Dec 15, 2020

The instructor gets his points home!!! Thanks

创建者 Soham B

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May 6, 2020

Wonderful lucid experience. Great instructor.

创建者 RAMADASU V K

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Dec 24, 2020

This is very use full for business decisions

创建者 Aline C

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Nov 24, 2018

Well designed and usefull. A good investment

创建者 Qianxian W

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Aug 19, 2017

Very clear teaching and rewarding exercises.

创建者 Eric

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Feb 11, 2017

Very detailed instructions. I learned a lot!

创建者 Vincent R

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Apr 14, 2021

Clear introduction to the topic. Well done!

创建者 Pratyush A

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Aug 6, 2020

Good course. Nicely explained new concepts.

创建者 Nazmus S S

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Jan 7, 2019

Professor is very good. I love this course.

创建者 Eddy K

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Nov 24, 2020

THE COURSE IS GREAT AND THE LECTURER GOOD,

创建者 Abeythunga, S

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Aug 27, 2020

very educational and improved my knowladge

创建者 Songly H

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Oct 29, 2017

Great course, short, concise to the point!

创建者 Prakhar S

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Jun 5, 2017

perfect course to learn hypothesis testing

创建者 Deleted A

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Jul 9, 2019

The sound in the videos should be lauder.

创建者 PRITAM P

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Mar 2, 2021

many things I got to know by this course

创建者 Soheil R

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Nov 13, 2023

very very good with awesome instructor.

创建者 Ernie R

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Mar 3, 2019

Great instructor! Easy to follow along.

创建者 Isabel

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Jun 23, 2017

Very good structure with many examples

创建者 Juan C D M

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Mar 15, 2020

Great course, very clear and usefull

创建者 Mrinal

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Jul 22, 2020

Excellent material and explanation

创建者 Elizabeth N M

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Oct 12, 2021

Loved every aspect of this course

创建者 Apurva G

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May 2, 2020

The course was really insightful.

创建者 Krishanvendra S

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Dec 26, 2023

Examples and topics are use full