Rice University - Business Applications of Hypothesis Testing and Confidence Interval Estimation
- Offered byCoursera
Business Applications of Hypothesis Testing and Confidence Interval Estimation at Coursera Overview
Duration | 25 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Business Applications of Hypothesis Testing and Confidence Interval Estimation at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 5 in the Business Statistics and Analysis Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 25 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Business Applications of Hypothesis Testing and Confidence Interval Estimation at Coursera Course details
- 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
Business Applications of Hypothesis Testing and Confidence Interval Estimation at Coursera Curriculum
Confidence Interval - Introduction
Meet the Professor
Introducing the t-distribution, the T.DIST Function
t-distribution Continued, the T.INV Function
Introducing Confidence Interval
Introducing Confidence Interval (Continued)
The z-statistic and the t-statistic
Using z- and t- statistics to Construct Confidence Interval
Week 1 Recap
Course FAQs
Pre-Course Survey
Slides, Lesson 1
Slides, Lesson 2
Slides, Lesson 3
Slides, Lesson 4
Slides, Lesson 5
Slides, Lesson 6
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Confidence Interval - Introduction
Confidence Interval - Applications
Application of Confidence Interval
Confidence Interval for a Population Proportion
Sample Size Calculation
Sample Size Calculation (Continued)
Hypothesis Testing, An Introduction
Week 2 Recap
Home_Sizes.xlsx
Slides, Lesson 1
Slides, Lesson 2
Slides, Lesson 3
Slides, Lesson 4
Slides, Lesson 5
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Confidence Interval - Applications
Hypothesis Testing
The Logic of Hypothesis Testing
Conducting a Hypothesis Test, the Four Steps
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 Test
Week 3 Recap
Slides, Lesson 1
Slides, Lesson 2
Slides, Lesson 3
Average Age.xlsx
Slides, Lesson 4
Slides, Lesson 5
Slides, Lesson 6
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Hypothesis Testing
Hypothesis Test - Differences in Mean
Introducing the Difference-In-Means Hypothesis Test
Application of the Difference-In-Means Hypothesis Test
Application (Continued) - Equal & Unequal Variance Assumption
The Paired t-Test for Means
Some More Applications
Some More Applications (Continued)
Week 4 Recap
Athletes.xlsx
Slides, Lesson 1
Slides, Lesson 2
Athletes.xlsx
Slides, Lesson 3
Training.xlsx
Slides, Lesson 4
Store Sales
Slides, Lesson 5
Age Data
Slides, Lesson 6
End-of-Course Survey
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Hypothesis Test - Differences in Mean
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