- Level Foundation
- المدة 19 ساعات hours
- الطبع بواسطة University of Illinois Urbana-Champaign
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Offered by
عن
This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. To this end, the course aims to cover statistical ideas that apply to managers by discussing two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations. The fundamental concepts studied in this course will reappear in many other classes and business settings. Our focus will be on interpreting the meaning of the results in a business and managerial setting. While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through use of Excel and using data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts but also understanding the meaning of the results obtained. You will be able to: - Test for beliefs about a population - Compare differences between populations - Use linear regression model for prediction - Use Excel for statistical analysis This course is part of Gies College of Business' suite of online programs, including the iMBA and iMSM.الوحدات
About the Course
2
Videos
- Welcome to Inferential and Predictive Statistics for Business!
- Learn on Your Terms
5
Readings
- Syllabus
- ePub
- About the Discussion Forums
- Glossary
- Online Education at Gies College of Business
1
Quiz
- Orientation Quiz
About Excel
1
Videos
- Excel Data Analysis Toolpak
1
Readings
- Using Excel for this Course
About Your Classmates
1
Discussions
- Getting to Know Your Classmates
1
Readings
- Updating Your Profile
Module 1 Information
2
Readings
- Module 1 Overview
- Module 1 Readings
Lesson 1-1: Formulating the Hypothesis
1
Videos
- 1-1.1. Formulating the Hypothesis
1
Quiz
- Lesson 1-1 Practice Quiz
Lesson 1-2: Analyzing the Result
1
Videos
- 1-2.1. Analyzing the Result
1
Quiz
- Lesson 1-2 Practice Quiz
Lesson 1-3: Two-Tail Test for Mean
2
Videos
- 1-3.1. Two-Tail Test for Mean
- 1-3.2. Two-Tail Test for Mean in Excel
1
Quiz
- Lesson 1-3 Practice Quiz
Lesson 1-4: One-Tail Test for Mean
3
Videos
- 1-4.1. One-Tail Test for Mean
- 1-4.2. Left-Tail Test for Mean in Excel
- 1-4.3. Right-Tail Test for Mean in Excel
1
Quiz
- Lesson 1-4 Practice Quiz
Lesson 1-5: Testing the Proportion
4
Videos
- 1-5.1. Testing the Proportion
- 1-5.2. Left-Tail Test for Proportion in Excel
- 1-5.3. Right-Tail Test for Proportion in Excel
- 1-5.4. Two-Tail Test for Proportion in Excel
1
Quiz
- Lesson 1-5 Practice Quiz
Module 1 Graded Activities
1
Quiz
- Module 1 Quiz
Module 2 Information
2
Readings
- Module 2 Overview
- Module 2 Readings
Lesson 2-1: Testing for No Difference in Means
3
Videos
- 2-1.1. Testing for No Difference in Means
- 2-1.2. Testing for No Difference in Means in Excel
- 2-1.3. Two-Tail Mean Test for Two Samples and Calculating the Confidence Interval in Excel
1
Quiz
- Lesson 2-1 Practice Quiz
Lesson 2-2: One-Tail Test of the Means
2
Videos
- 2-2.1. One-Tail Test of the Means
- 2-2.2. One-Tail Test of the Means in Excel
1
Quiz
- Lesson 2-2 Practice Quiz
Lesson 2-3: Testing for a Specific Value in Means
1
Videos
- 2-3.1. Testing for a Specific Value in Means
1
Quiz
- Lesson 2-3 Practice Quiz
Lesson 2-4: Paired Tests
2
Videos
- 2-4.1. Paired Tests
- 2-4.2. Paired Test in Excel
1
Quiz
- Lesson 2-4 Practice Quiz
Lesson 2-5: Test of Proportions
3
Videos
- 2-5.1. Test of Proportions
- 2-5.2. One-Tail Test of Proportions for Two Samples in Excel
- 2-5.3. Two-Tail Test of Proportions for Two Samples in Excel
1
Quiz
- Lesson 2-5 Practice Quiz
Module 2 Graded Activities
1
Peer Review
- Inferential and Predictive Statistics Peer Review Assignment
1
Quiz
- Module 2 Quiz
Module 3 Information
2
Readings
- Module 3 Overview
- Module 3 Readings
Lesson 3-1: An Introduction
1
Videos
- 3-1.1. An Introduction
1
Quiz
- Lesson 3-1 Practice Quiz
Lesson 3-2: Least Square Methods
2
Videos
- 3-2.1. Least Square Methods
- 3-2.2. Least Square Method in Excel
1
Quiz
- Lesson 3-2 Practice Quiz
Lesson 3-3: Assessing the Regression Model
2
Videos
- 3-3.1. Assessing the Regression Model
- 3-3.2. Testing the Significance in Excel
1
Quiz
- Lesson 3-3 Practice Quiz
Lesson 3-4: Using the Model
2
Videos
- 3-4.1. Using the Model
- 3-4.2. Simple Linear Regression: Excel Output Analysis
1
Quiz
- Lesson 3-4 Practice Quiz
Lesson 3-5: Model Assumptions and Limitations
2
Videos
- 3-5.1. Model Assumptions and Limitations
- 3-5.2. Residual Analysis in Excel
1
Quiz
- Lesson 3-5 Practice Quiz
Module 3 Graded Activities
1
Quiz
- Module 3 Quiz
Module 4 Information
2
Readings
- Module 4 Overview
- Module 4 Readings
Lesson 4-1: Model Introduction
3
Videos
- 4-1.1. Model Introduction
- 4-1.2. Developing Multiple Regression Model in Excel
- 4-1.3. Multiple Regression: Excel Output Analysis
1
Quiz
- Lesson 4-1 Practice Quiz
Lesson 4-2: Qualitative Data – Two Categories
2
Videos
- 4-2.1. Qualitative Data – Two Categories
- 4-2.2. Dummy Variable in Excel – Two Categories
1
Quiz
- Lesson 4-2 Practice Quiz
Lesson 4-3: Qualitative Data – Many Categories
2
Videos
- 4-3.1. Qualitative Data – Many Categories
- 4-3.2. Dummy Variable in Excel – Many Categories
1
Quiz
- Lesson 4-3 Practice Quiz
Module 4 Graded Activities
2
Readings
- Congratulations on completing the course!
- Get Your Course Certificate
1
Quiz
- Module 4 Quiz
Auto Summary
This course, "Inferential and Predictive Statistics for Business," focuses on using statistical analysis to manage business uncertainties. Taught by Gies College of Business, it emphasizes practical application using Excel and diverse data sets. Over 1140 minutes, learners will master population testing, comparison, linear regression, and statistical analysis. Ideal for business professionals, it's available via Coursera with a Starter subscription.

Fataneh Taghaboni-Dutta, Ph.D., PMP, CSM, CSPO