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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
별점
1,203개의 평가
205개의 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

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 205개 리뷰 중 76~100

교육 기관: Andrew A

2019년 9월 5일

Absolutely excellent learning format with a professor that clearly presents the material.

교육 기관: jorge l

2018년 6월 12일

good class, clear and concise. thanks to well organized presentations done by the teacher

교육 기관: Donnette D

2021년 4월 6일

Excellent lectures. Quizzes helped to reinforce training. Wide applicability to business

교육 기관: Andriy K

2018년 4월 29일

Very good course with a lot of applied examples and step by step detailed explanation.

교육 기관: Victorino M

2020년 2월 6일

Excellent course, it helped me a lot to understand hypothesis testing using excel. !

교육 기관: Dusi S K

2021년 10월 21일

Vivid and clear explanations by Sir. Thank you for designing such a great course.

교육 기관: PRERIT M

2020년 6월 22일

Highly qualitative course with real statistical skills. Kudos to the instructor.

교육 기관: Dr. U S

2020년 4월 4일

I have better understanding of excel and research interface and research too.

교육 기관: GOPESHWAR N

2020년 6월 17일

Awesome course,with awesome exercises.Learnt a lot about hypothesis testing!

교육 기관: Mark H

2018년 4월 23일

Good summary of how to test hypothesis. I look forward to putting this work.

교육 기관: shwetamehna

2019년 6월 22일

If you want to learn the basics of hypothesis, then this course is for you.

교육 기관: Sanjyot T

2020년 9월 13일

It is nice to recall the studed data analysis and linking it more clearly.

교육 기관: Adeyinka O

2020년 6월 27일

This course is so practical and well presented by the instructor, good job

교육 기관: Mohammed T C

2020년 5월 16일

Excellent Course with 100% practical based learning. Learned a lot. Thanks

교육 기관: Emil R

2018년 12월 26일

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

교육 기관: Arushi S

2017년 6월 23일

concept was very nicely explained. The excel examples were very helpful

교육 기관: sam m

2019년 3월 23일

easy to follow! the rule of thumbs helps a lot, and a lot of examples.

교육 기관: Santiago R R

2020년 8월 9일

My favorite course of the specialization so far, thank you Professor!

교육 기관: Conrad H

2021년 3월 18일

This was incredibly relevant and useful for business decision-making

교육 기관: EILEEN K X Y

2020년 6월 18일

Useful and insightful. Unlocked new data analytics tools with Excel.

교육 기관: Yeasin A A

2020년 6월 18일

It was fabulous. Concise and clear. better than many similar lessons

교육 기관: Victoria D

2018년 10월 4일

Concise practical approach to business hypothesis testing in excel.

교육 기관: Yi-Hsuan L

2021년 8월 31일

Great course! Very clear and backed with many real-world examples.

교육 기관: Michael N

2021년 4월 17일

Very interesting course, which is clearly explained by the tutor.

교육 기관: Chen Z

2021년 4월 18일

An excellent class for business statistics on hypothesis testing