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Bewertung und Feedback des Lernenden für Business Applications of Hypothesis Testing and Confidence Interval Estimation von Rice University

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1,199 Bewertungen
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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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101 - 125 von 205 Bewertungen für Business Applications of Hypothesis Testing and Confidence Interval Estimation

von Jean-Philippe M

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6. Aug. 2019

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

von Gregory L

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22. Nov. 2018

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

von Tim L

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26. Mai 2018

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

von William A

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26. Feb. 2021

EXCEPTIONAL Course. Fantastic instruction. Very well done.

von Odunayo D

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23. Mai 2018

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

von Germán D L P

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24. Aug. 2020

Excellent course to understand and apply hypothesis testing

von Manish A

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17. Apr. 2018

A very insightful and detailed course on Hypothesis Testing

von Juan G S A

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27. Nov. 2020

Great course, instructor explains very well all concepts.

von Naimur R C

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13. Mai 2020

very thorough and insightful course. highly recommended.

von Yizhi H

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2. Apr. 2020

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

von bhola p

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29. Mai 2018

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

von Faris D A

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31. Jan. 2020

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

von Noro B

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12. Juni 2017

great course to learn statistics and advacend excel

von A K

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10. März 2017

Very Nice course. Easy to understand and practice.

von Ksenia S

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26. Dez. 2020

Great course with good explanation and examples.

von Roxanna J Z P

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11. Feb. 2021

Great course! Great explanations of the topics.

von Dr. G S

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15. Dez. 2020

The instructor gets his points home!!! Thanks

von Soham B

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6. Mai 2020

Wonderful lucid experience. Great instructor.

von RAMADASU V K

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24. Dez. 2020

This is very use full for business decisions

von Aline C

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24. Nov. 2018

Well designed and usefull. A good investment

von Qianxian W

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19. Aug. 2017

Very clear teaching and rewarding exercises.

von Eric B

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11. Feb. 2017

Very detailed instructions. I learned a lot!

von Vincent R

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15. Apr. 2021

Clear introduction to the topic. Well done!

von Pratyush A

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7. Aug. 2020

Good course. Nicely explained new concepts.

von Nazmus S S

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7. Jan. 2019

Professor is very good. I love this course.

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