Statistics and Data Analysis with Excel, Part 2
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Statistics and Data Analysis with Excel, Part 2
This course is part of Statistics and Applied Data Analysis Specialization
Instructor: Charlie Nuttelman
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What you'll learn
Perform one- and two-sample hypothesis tests on the mean and variance to make statistical decisions.
Create and interpret predictive regression models (linear and multiple) from experimental data.
Use ANOVA (analysis of variance) to compare means of multiple samples.
Skills you'll gain
Tools you'll learn
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There are 7 modules in this course
This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics. Topics in Part 2 include sampling distributions; one-sample hypothesis tests on the mean, variance, and binomial proportion; two-sample hypothesis tests (comparison of means, variances, and binomial proportions of samples drawn from two populations); simple (straight-line) regression; multilinear regression; and analysis of variance (ANOVA).
Statistical techniques are taught with the help of Microsoft Excel, which is an intuitive software package that has many built-in functions and tools for statistical analysis. This course is the second course out of three that comprise the specialization "Statistics and Applied Data Analysis." Course 3 ("Statistics and Data Analysis with R") focuses on statistical analysis in the statistical software package RStudio.
Week 1 of the course is an introduction to Part 2 of "Statistics and Data Analysis with Excel." You will have several short, orientation-type reading assignments and you will have the opportunity to review some important concepts from Part 1 of the course. Finally, you'll be introduced to some of the main concepts and goals of the course.
What's included
5 videos6 readings1 assignment1 discussion prompt
5 videos•Total 31 minutes
- Welcome to the Course!•8 minutes
- How the Course Works•3 minutes
- Standardizing and Z-Values, Part 1•11 minutes
- Standardizing and Z-Values, Part 2•3 minutes
- Inverse Normal Distribution Calculations•6 minutes
6 readings•Total 21 minutes
- Course Updates and Accessibility Support•1 minute
- The Importance of a Course Certificate and the Future of Higher Education•10 minutes
- What Version of Excel Do You Need for This Course?•5 minutes
- Do You Need to Review?•1 minute
- Percentage Points of the Standard Normal Distribution (Table)•2 minutes
- Week 2 Excel Files•2 minutes
1 assignment•Total 2 minutes
- Unlock Quiz for Week 2 Files•2 minutes
1 discussion prompt•Total 10 minutes
- What About You?•10 minutes
In Week 2 of the course, you will learn all about sampling distributions and how they are different from population distributions, which you learned about in Part 1 of the course. You will also learn about the "variance known" and "variance unknown" cases and the differences between them. You'll learn all about the T distribution and how to create confidence intervals on the population mean when variance is known and unknown. Finally, you will learn about the chi-squared distribution and how to create confidence intervals on the population variance.
What's included
11 videos7 readings3 assignments1 discussion prompt
11 videos•Total 83 minutes
- Introduction to Inferential Statistics•7 minutes
- Sampling Distribution vs. Population Distribution •9 minutes
- The Central Limit Theorem•5 minutes
- Variance Known or Unknown?•5 minutes
- Confidence Interval on the Mean, Variance Known•12 minutes
- The T Distribution•8 minutes
- Confidence Interval on the Mean, Variance Unknown•5 minutes
- Using the CONFIDENCE.NORM and CONFIDENCE.T Functions in Excel •5 minutes
- Prediction Interval on a Future Observation•6 minutes
- The Chi-Squared Distribution and Confidence Intervals on the Variance •11 minutes
- Guided Workshop 2: Confidence Interval Calculator for Small Data Sets•12 minutes
7 readings•Total 22 minutes
- Week 2 Cheat Sheet•2 minutes
- Percentage Points of the T Distribution (Table)•2 minutes
- Excel Functions for the Standard Normal and T Distributions•2 minutes
- Percentage Points of the Chi-Squared Distribution (Table)•2 minutes
- Excel Functions for the Chi-Squared Distribution•2 minutes
- Guided Workshop 2•10 minutes
- Week 3 Excel Files•2 minutes
3 assignments•Total 90 minutes
- Guided Workshop 2 Submission•30 minutes
- Week 2 Graded Quiz•30 minutes
- Week 2 Practice Quiz•30 minutes
1 discussion prompt•Total 5 minutes
- (OPTIONAL) Week 2 Discussion•5 minutes
Week 3 will introduce you to hypothesis testing. You will perform hypothesis tests on single-sample parameters (mean and variance). You will then learn about Type I and Type II errors, how to calculate beta and power, and how to determine sample size for a specified power of the test. Finally, you will learn how to perform hypothesis tests on a binomial proportion.
What's included
14 videos3 readings3 assignments1 discussion prompt
14 videos•Total 100 minutes
- Introduction to Hypothesis Testing, Part 1•6 minutes
- Introduction to Hypothesis Testing, Part 2•8 minutes
- Hypothesis Tests on the Mean Using Confidence Intervals•10 minutes
- The Test Statistic Approach to Hypothesis Testing•10 minutes
- Using P-Values for Hypothesis Testing on the Mean, Part 1•6 minutes
- Using P-Values for Hypothesis Testing on the Mean, Part 2•7 minutes
- Type I and Type II Errors•9 minutes
- Example: Type II Error•5 minutes
- Power of the Test•4 minutes
- Choice of Sample Size and OC Curves•7 minutes
- Choice of Sample Size, Variance Unknown•2 minutes
- Hypothesis Tests on the Variance•8 minutes
- Hypothesis Tests on a Binomial Proportion•8 minutes
- Guided Workshop 3: Real-Time Power Calculator•10 minutes
3 readings•Total 14 minutes
- Week 3 Cheat Sheet•2 minutes
- Guided Workshop 3•10 minutes
- Week 4 Excel Files•2 minutes
3 assignments•Total 90 minutes
- Guided Workshop 3 Submission•30 minutes
- Week 3 Graded Quiz•30 minutes
- Week 3 Practice Quiz•30 minutes
1 discussion prompt•Total 5 minutes
- (OPTIONAL) Week 3 Discussion•5 minutes
Week 4 is all about hypothesis tests related to comparision of means, variances, and binomial proportions of two populations. You will also learn how to perform paired T-tests and you will learn how to use the F distribution.
What's included
8 videos6 readings3 assignments1 discussion prompt
8 videos•Total 67 minutes
- Comparison of Means, Variance Known (Part 1)•9 minutes
- Comparison of Means, Variance Known (Part 2)•7 minutes
- Comparison of Means, Variance Unknown (Part 1)•7 minutes
- Comparison of Means, Variance Unknown (Part 2)•4 minutes
- Paired T-tests•9 minutes
- The F Distribution and Comparison of Variances•9 minutes
- Comparison of Proportions •5 minutes
- Guided Workshop 4: Two-Sample T-Test Calculator•17 minutes
6 readings•Total 28 minutes
- Week 4 Cheat Sheet•2 minutes
- Comparison of Means Flowchart•2 minutes
- Excel Functions for the F Distribution•10 minutes
- Percentage Points of the F Distribution (Table)•2 minutes
- Guided Workshop 4•10 minutes
- Week 5 Excel Files•2 minutes
3 assignments•Total 90 minutes
- Guided Workshop 4 Submission•30 minutes
- Week 4 Graded Quiz•30 minutes
- Week 4 Practice Quiz•30 minutes
1 discussion prompt•Total 5 minutes
- (OPTIONAL) Week 4 Discussion•5 minutes
Week 5 introduces you to linear regression models. You will learn how to create simple linear regression models, perform hypothesis tests on the slope and intercept, and calculate the coefficient of determination and adjusted R-squared value. You will also learn how to use Excel's Regression tool to create linear regression models.
What's included
10 videos3 readings3 assignments1 discussion prompt
10 videos•Total 108 minutes
- Linear Regression, Part 1: Simple Linear Models (Straight Line)•9 minutes
- Linear Regression, Part 2: General Linear Models•12 minutes
- Linear Regression, Part 3: Multilinear Regression•10 minutes
- Simple Linear Regression Using Least Squares Estimators•12 minutes
- Hypothesis Tests for Simple Linear Regression•12 minutes
- Confidence Intervals on Slope and Intercept•12 minutes
- Examples: Confidence Interval on the Slope•9 minutes
- Confidence Interval on the Mean Response•11 minutes
- Coefficient of Determination and Adjusted R-Squared•8 minutes
- Guided Workshop 5: Prediction Interval for a Future Observation•14 minutes
3 readings•Total 14 minutes
- Week 5 Cheat Sheet•2 minutes
- Guided Workshop 5•10 minutes
- Week 6 Excel Files•2 minutes
3 assignments•Total 90 minutes
- Guided Workshop 5 Submission•30 minutes
- Week 5 Graded Quiz•30 minutes
- Week 5 Practice Quiz•30 minutes
1 discussion prompt•Total 5 minutes
- (OPTIONAL) Week 5 Discussion•5 minutes
Building off of concepts you learned in Week 5 of the course, Week 6 will introduce you to multiple linear regression models. You will learn how to perform hypothesis tests on model parameters and how to create confidence and prediction intervals. Finally, you will be introduced to nonlinear regression (logistic regression).
What's included
7 videos3 readings3 assignments1 discussion prompt
7 videos•Total 97 minutes
- Matrix Approach to Multiple Linear Regression•11 minutes
- Statistical Properties of Least Squares Estimators•12 minutes
- Hypothesis Tests in Multiple Linear Regression, Part 1•10 minutes
- Hypothesis Tests in Multiple Linear Regression, Part 2•10 minutes
- Confidence Intervals in Multiple Linear Regression•9 minutes
- Introduction to Nonlinear Regression (Logistic Regression)•14 minutes
- Guided Workshop 6: Real-Time Multilinear Regression Calculator•31 minutes
3 readings•Total 14 minutes
- Week 6 Cheat Sheet•2 minutes
- Guided Workshop 6•10 minutes
- Week 7 Excel Files•2 minutes
3 assignments•Total 90 minutes
- Guided Workshop 6 Submission•30 minutes
- Week 6 Graded Quiz•30 minutes
- Week 6 Practice Quiz•30 minutes
1 discussion prompt•Total 5 minutes
- (OPTIONAL) Week 6 Discussion•5 minutes
In Week 7, you will learn the basics of one-way and two-way analysis of variance (ANOVA). You will learn how to do this "by hand" and also using a built-in tool in Excel.
What's included
4 videos2 readings4 assignments1 discussion prompt
4 videos•Total 48 minutes
- Single-Factor ANOVA: Introduction and Terminology•9 minutes
- Single-Factor ANOVA: Partitioning the Sum of Squares and Creating the ANOVA Table•11 minutes
- Single-Factor ANOVA: Comparison of Means•6 minutes
- Guided Workshop 7: Two-Way Analysis of Variance•22 minutes
2 readings•Total 12 minutes
- Week 7 Cheat Sheet•2 minutes
- Guided Workshop 7•10 minutes
4 assignments•Total 120 minutes
- Guided Workshop 7 Submission•30 minutes
- Week 7 Graded Quiz•30 minutes
- Final Graded Quiz•30 minutes
- Week 7 Practice Quiz•30 minutes
1 discussion prompt•Total 5 minutes
- (OPTIONAL) Week 7 Discussion•5 minutes
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Reviewed on Nov 2, 2025
A really great blend of some theory but a lot of practical experience using statistics in Excel. The course leader presents the material very clearly.
Reviewed on Sep 11, 2024
The Specialization is a very thorough learning about Statistics with many examples for us to understand the principles. Some modules are hard but fun.
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