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1,201 Bewertungen
205 Bewertungen

Über den Kurs

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...

Top-Bewertungen

AU
5. Mai 2020

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
20. Aug. 2020

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 - 150 von 205 Bewertungen für Business Applications of Hypothesis Testing and Confidence Interval Estimation

von Eddy k K

24. Nov. 2020

THE COURSE IS GREAT AND THE LECTURER GOOD,

von Abeythunga, S

27. Aug. 2020

very educational and improved my knowladge

von Songly H

29. Okt. 2017

Great course, short, concise to the point!

von Prakhar S

5. Juni 2017

perfect course to learn hypothesis testing

von Filipe M

9. Juli 2019

The sound in the videos should be lauder.

von PRITAM P

2. März 2021

many things I got to know by this course

von Ernie R

4. März 2019

Great instructor! Easy to follow along.

von Isabel

23. Juni 2017

Very good structure with many examples

von Juan C D M

15. März 2020

Great course, very clear and usefull

von Mrinal

22. Juli 2020

Excellent material and explanation

von Elizabeth N M

12. Okt. 2021

Loved every aspect of this course

von Apurva G

2. Mai 2020

The course was really insightful.

von Terry U

27. Sep. 2018

Statistics simplified.

Awesome!!!

von Vipul R G

8. Juli 2020

Great learning, Thank you Prof.

von deathleo

27. Juni 2020

Very useful tools for bussiness

von Timothy O M

14. Feb. 2021

I highly recommend this course

von Anand R

17. Juli 2020

The course is well organized.

von 原野

28. Dez. 2018

it is really helpful class!!!

von Yixuan W

23. Aug. 2017

i like it, easy to understand

von Rishitesh P

20. Aug. 2020

very nice course for Analyst

von Ponciano R

31. Mai 2018

Fantastic course and teacher

von G. J J W

1. Juni 2020

Amazing Journey of Learning

von Akhil G

16. Jan. 2020

Excellent course good pace

von Hénock M

17. Juli 2018

very interesting course...

von Elsayed k

4. Jan. 2020

great knowledge included