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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

4.8
1,203 個評分
205 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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176 - Business Applications of Hypothesis Testing and Confidence Interval Estimation 的 200 個評論(共 205 個)

創建者 SAVARAPU J P

2021年9月27日

Excellent

創建者 121913901057 g

2021年4月27日

thank you

創建者 Antonello G

2021年1月21日

Excellent

創建者 Olga

2019年1月30日

Great

創建者 MACHANI S K

2021年8月19日

good

創建者 Jonathan J

2020年12月7日

GOOD

創建者 Atis R

2019年2月22日

Good

創建者 Chandrasekaran R

2017年10月15日

d

創建者 Riccardo M

2020年4月17日

Overall, this is a good introductory course. I think it is very good for people that are starting with Excel or statistics, and business analysis.

However, I removed one star considering my personal experience. At times I feel it slow, maybe I made the wrong decision, because I already have some background and I was looking to refresh it and have more practical knowledge. I don't find it very challenging, but will complete the specialization for the certificate and to see the remaining 2 courses in it.

創建者 Faisal n K

2020年8月20日

overall good experience but quiz of week 2 was planned terribly many students faced problem because of rounding error and question suggested to use goalseek or solver but neither of them were taught in this course nor in other course of this specialization and please fix rounding error problems

創建者 Aafiyah D

2020年4月3日

This course was very different from the other data analysis courses. it really shows one how to compare data points in the same sample/population.

very interesting and many thanks to the prof, he made it easy to understand! the examples here as there were alot really helped!! thank you!

創建者 Saurabh M

2017年9月14日

This was a really interesting course. Some of the video lectures were longer than usual however, the content and the way it was taught kept it interesting. I'd definitely recommend this course to friends.

創建者 Shiyu D

2018年4月8日

It's great/ but sometimes I find it a little confusing when so many new concepts come to me. Better take notes while you are having this course^-^

創建者 Beāta K

2021年1月11日

Good explanations in videos, however sometimes there are to many repititions. As in previous courses, explanations after quizzes are missing.

創建者 Collin L S

2020年7月1日

A good overview of Z and T tests. Would have liked to see ANOVA or the F statistic as well to refresh myself on those statistics.

創建者 Lluís M

2017年12月6日

Great way to learn useful knowledge from home and in a easy and fast way. Very helpful when you usually work with data analysis.

創建者 Mayank R

2019年9月21日

useful course. It can add some more details and differentiation between T.INV and T.INV.TWO functions used in excel.

創建者 Colin P

2018年5月16日

Good intro to hypothesis testing using excel for business problems. Lectures are easy to follow - but take notes!

創建者 Pranjal S S

2017年11月4日

Loved the course! The structure and explanation throughout is brilliant for a newbie.

創建者 Radhika G

2020年4月27日

The course helped in strengthening my basics of hypothesis testing.

創建者 César P O

2019年9月11日

It needs to show the correct answers when you do wrong in the tests

創建者 Eduardo R O S

2020年1月31日

Excellent course to refresh your knowledge about inference

創建者 Yining Y

2020年9月12日

There are many same slides in the file!

創建者 Renier B

2020年2月19日

too easy compared to part 1 &2

創建者 Harsha M

2019年4月25日

Brilliant course!!