4.8
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...

## 熱門審閱

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.

## 101 - Business Applications of Hypothesis Testing and Confidence Interval Estimation 的 125 個評論（共 209 個）

2021年4月17日

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

2021年4月18日

An excellent class for business statistics on hypothesis testing

2019年8月6日

Excellent teaching and great course. Enjoyed every bit of it!

2018年11月22日

Loved the course; great materials, great pace, great practice

2018年5月26日

This is the class where it really started to get interesting.

2021年2月26日

EXCEPTIONAL Course. Fantastic instruction. Very well done.

2018年5月23日

This was a helpful course. I can't wait to apply it at workl

2020年8月24日

Excellent course to understand and apply hypothesis testing

2018年4月17日

A very insightful and detailed course on Hypothesis Testing

2020年11月27日

Great course, instructor explains very well all concepts.

2020年5月13日

very thorough and insightful course. highly recommended.

2020年4月2日

I truly enjoyed this class! The instructor is the best!

2018年5月29日

just go for it. This is just amazing. Loved it totally.

2020年1月31日

It was a really helpful course, many thanks to you!!!!

2017年6月12日

great course to learn statistics and advacend excel

2017年3月10日

Very Nice course. Easy to understand and practice.

2020年12月26日

Great course with good explanation and examples.

2021年2月11日

Great course! Great explanations of the topics.

2020年12月15日

The instructor gets his points home!!! Thanks

2020年5月6日

Wonderful lucid experience. Great instructor.

2020年12月24日

This is very use full for business decisions

2018年11月24日

Well designed and usefull. A good investment

2017年8月19日

Very clear teaching and rewarding exercises.

2017年2月11日

Very detailed instructions. I learned a lot!

2021年4月15日

Clear introduction to the topic. Well done!