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

라이스 대학교의 Business Applications of Hypothesis Testing and Confidence Interval Estimation 학습자 리뷰 및 피드백

4.8
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1,230개의 평가

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

AU

2020년 5월 5일

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.

M

2020년 8월 20일

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.

필터링 기준:

Business Applications of Hypothesis Testing and Confidence Interval Estimation 의 210개 리뷰 중 51~75

교육 기관: Rajat g

2020년 6월 26일

Just amazing, thoroughly enjoyed the course, the instructor explains every concept with examples and explains so nicely.

교육 기관: Lalit G

2019년 8월 3일

Amazing course...Learnt lot of beautiful things in Excel and Statistics which was not there anywhere...Good course..

교육 기관: Ernesto B P

2019년 3월 20일

Very nice and easy to follow course. I have had a great experience learning the Hypothesis Testing secrets in Excel.

교육 기관: EDIRIMUNI C S S D S

2020년 10월 14일

Learn how to build Hypothesis building and validaete using excel tools ,Great experience and hands on training

교육 기관: Alex M

2018년 4월 14일

The quizzes for this course are very well-done, quite challenging and certainly very satisfying to get through.

교육 기관: Kumar N

2020년 3월 8일

Ultimate guidance and cource material provided by Rice universitya nd guided by professor Mr. Sharad Bordale.

교육 기관: SAKSHI C

2017년 7월 27일

very well structured curriculum. a must do for anyone looking to understand the basic of hypothesis testing

교육 기관: Matteo G

2020년 4월 4일

I enjoyed the multiple case-studies and the clarity with which complex concepts are presented. Well done!

교육 기관: Manuel A

2021년 2월 9일

it was great learning this course. I very pleasure with the professor. Very punctual in his statement

교육 기관: Ramesh K

2020년 5월 6일

Excellent Course. Super good Course content, Great Professor. Thank you once again, Prof.Shard Borle.

교육 기관: Aakash G

2020년 5월 10일

It provided me a lot of understanding about the methods that can be used before taking any decision.

교육 기관: Dibyajyoti D

2020년 8월 18일

One of the best courses available on Coursera and also in Business Analysis and Hypothesis Testing.

교육 기관: Deano M

2020년 4월 13일

Very well presented and thought out. The concepts are explained clearly and the exercises are good.

교육 기관: Jaysing B

2020년 7월 21일

Enjoying Every course offered by Sharad Borle sir. In fact having a fun doing this specialization.

교육 기관: Lucia C B

2021년 3월 16일

Excellent course. I have taken 4 of 5 in series, and plan to take 5th one too. Highly recommend

교육 기관: Sean E B

2017년 12월 10일

Good lectures that are easy to follow.

As long as you pay attention you should have no problem.

교육 기관: Lucas O

2020년 6월 28일

One of the best courses I've ever taken. Great practical applications of statistical concepts.

교육 기관: Rengarajan S

2019년 4월 8일

Very useful.. learnt a whole lot of new statistical tools and techniques. Highly recommended..

교육 기관: Umasankar D

2020년 4월 30일

presentation skills are very very excellent,

Giving the Live examples for better understanding

교육 기관: Sumit J

2020년 2월 4일

Learning was great. Concepts were explained in a lucid manner. Easy to understand. Thank you.

교육 기관: Wellington G S

2017년 9월 14일

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

교육 기관: Md. M I

2020년 11월 24일

The instructor is really awesome. He makes every point clear and makes it easy to understand

교육 기관: Dhiraj J

2020년 6월 25일

The course has really proved very helpful in understanding and clarifying various concepts .

교육 기관: Kelly R

2019년 9월 28일

Course was very informative and the concepts were presented in an easy to understand format.

교육 기관: Hamilton E

2017년 10월 17일

Great course! Very practical application of statistics on excel. The professor is excellent.