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學生對 莱斯大学 提供的 Business Applications of Hypothesis Testing and Confidence Interval Estimation 的評價和反饋

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1,222 個評分
209 條評論

課程概述

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...

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AU

2020年5月5日

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

2020年8月20日

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 個評論(共 209 個)

創建者 Pratyush A

2020年8月7日

Good course. Nicely explained new concepts.

創建者 Nazmus S S

2019年1月7日

Professor is very good. I love this course.

創建者 Eddy k K

2020年11月24日

THE COURSE IS GREAT AND THE LECTURER GOOD,

創建者 Abeythunga, S

2020年8月27日

very educational and improved my knowladge

創建者 Songly H

2017年10月29日

Great course, short, concise to the point!

創建者 Prakhar S

2017年6月5日

perfect course to learn hypothesis testing

創建者 Filipe M

2019年7月9日

The sound in the videos should be lauder.

創建者 PRITAM P

2021年3月2日

many things I got to know by this course

創建者 Ernie R

2019年3月4日

Great instructor! Easy to follow along.

創建者 Isabel

2017年6月23日

Very good structure with many examples

創建者 Juan C D M

2020年3月15日

Great course, very clear and usefull

創建者 Mrinal

2020年7月22日

Excellent material and explanation

創建者 Elizabeth N M

2021年10月12日

Loved every aspect of this course

創建者 Apurva G

2020年5月2日

The course was really insightful.

創建者 Terry U

2018年9月27日

Statistics simplified.

Awesome!!!

創建者 Vipul R G

2020年7月8日

Great learning, Thank you Prof.

創建者 deathleo

2020年6月27日

Very useful tools for bussiness

創建者 Timothy O M

2021年2月14日

I highly recommend this course

創建者 Anand R

2020年7月17日

The course is well organized.

創建者 原野

2018年12月28日

it is really helpful class!!!

創建者 Yixuan W

2017年8月23日

i like it, easy to understand

創建者 Rishitesh P

2020年8月20日

very nice course for Analyst

創建者 Ponciano R

2018年5月31日

Fantastic course and teacher

創建者 G. J J W

2020年6月1日

Amazing Journey of Learning

創建者 Akhil G

2020年1月16日

Excellent course good pace