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Retour à Business Applications of Hypothesis Testing and Confidence Interval Estimation

Avis et commentaires pour d'étudiants pour Business Applications of Hypothesis Testing and Confidence Interval Estimation par Université de Rice

4.8
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1,201 évaluations
•
205 avis

À propos du cours

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...

Meilleurs avis

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 août 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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51 - 75 sur 205 Avis pour Business Applications of Hypothesis Testing and Confidence Interval Estimation

par Ernesto B P

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20 mars 2019

Very nice and easy to follow course. I have had a great experience learning the Hypothesis Testing secrets in Excel.

par EDIRIMUNI C S S D S

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14 oct. 2020

Learn how to build Hypothesis building and validaete using excel tools ,Great experience and hands on training

par Alex M

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14 avr. 2018

The quizzes for this course are very well-done, quite challenging and certainly very satisfying to get through.

par Kumar N

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8 mars 2020

Ultimate guidance and cource material provided by Rice universitya nd guided by professor Mr. Sharad Bordale.

par SAKSHI C

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27 juil. 2017

very well structured curriculum. a must do for anyone looking to understand the basic of hypothesis testing

par Matteo G

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4 avr. 2020

I enjoyed the multiple case-studies and the clarity with which complex concepts are presented. Well done!

par Manuel A

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9 févr. 2021

it was great learning this course. I very pleasure with the professor. Very punctual in his statement

par Ramesh K

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6 mai 2020

Excellent Course. Super good Course content, Great Professor. Thank you once again, Prof.Shard Borle.

par Aakash G

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10 mai 2020

It provided me a lot of understanding about the methods that can be used before taking any decision.

par Dibyajyoti D

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18 août 2020

One of the best courses available on Coursera and also in Business Analysis and Hypothesis Testing.

par Deano M

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13 avr. 2020

Very well presented and thought out. The concepts are explained clearly and the exercises are good.

par Jaysing B

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21 juil. 2020

Enjoying Every course offered by Sharad Borle sir. In fact having a fun doing this specialization.

par Lucia C B

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16 mars 2021

Excellent course. I have taken 4 of 5 in series, and plan to take 5th one too. Highly recommend

par Sean E B

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10 déc. 2017

Good lectures that are easy to follow.

As long as you pay attention you should have no problem.

par Lucas O

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28 juin 2020

One of the best courses I've ever taken. Great practical applications of statistical concepts.

par Rengarajan S

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8 avr. 2019

Very useful.. learnt a whole lot of new statistical tools and techniques. Highly recommended..

par Umasankar D

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30 avr. 2020

presentation skills are very very excellent,

Giving the Live examples for better understanding

par Sumit J

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4 févr. 2020

Learning was great. Concepts were explained in a lucid manner. Easy to understand. Thank you.

par Wellington S

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14 sept. 2017

In depth course regarding hypothesis testing. Even better than the course I had in my degree.

par Md. M I

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24 nov. 2020

The instructor is really awesome. He makes every point clear and makes it easy to understand

par Dhiraj J

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25 juin 2020

The course has really proved very helpful in understanding and clarifying various concepts .

par Kelly R

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28 sept. 2019

Course was very informative and the concepts were presented in an easy to understand format.

par Hamilton C d R

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17 oct. 2017

Great course! Very practical application of statistics on excel. The professor is excellent.

par Swapnil P

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7 avr. 2020

It was a challenging course. The lessons explained were thorough. It was a great experience

par Matija H

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21 oct. 2017

Excellent and educational course for everyone interested in statistical hypothesis testing.

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