Statistics and Data Analysis with Excel, Part 2

Statistics and Data Analysis with Excel, Part 2

本课程是 Statistics and Applied Data Analysis 专项课程的一部分

位教师：Charlie Nuttelman

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7个模块

深入了解一个主题并学习基础知识。

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7个模块

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在 10 小时一周

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您将学到什么

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.

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授课语言：英语（English）

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该课程共有7个模块

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.

涵盖的内容

5个视频6篇阅读材料1个作业1个讨论话题

5个视频总计31分钟

Welcome to the Course!8分钟
How the Course Works3分钟
Standardizing and Z-Values, Part 111分钟
Standardizing and Z-Values, Part 23分钟
Inverse Normal Distribution Calculations6分钟

6篇阅读材料总计21分钟

Course Updates and Accessibility Support1分钟
The Importance of a Course Certificate and the Future of Higher Education10分钟
What Version of Excel Do You Need for This Course?5分钟
Do You Need to Review?1分钟
Percentage Points of the Standard Normal Distribution (Table)2分钟
Week 2 Excel Files2分钟

1个作业总计2分钟

Unlock Quiz for Week 2 Files2分钟

1个讨论话题总计10分钟

What About You?10分钟

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.

涵盖的内容

11个视频7篇阅读材料3个作业1个讨论话题

11个视频总计83分钟

Introduction to Inferential Statistics7分钟
Sampling Distribution vs. Population Distribution 9分钟
The Central Limit Theorem5分钟
Variance Known or Unknown?5分钟
Confidence Interval on the Mean, Variance Known12分钟
The T Distribution8分钟
Confidence Interval on the Mean, Variance Unknown5分钟
Using the CONFIDENCE.NORM and CONFIDENCE.T Functions in Excel 5分钟
Prediction Interval on a Future Observation6分钟
The Chi-Squared Distribution and Confidence Intervals on the Variance 11分钟
Guided Workshop 2: Confidence Interval Calculator for Small Data Sets12分钟

7篇阅读材料总计22分钟

Week 2 Cheat Sheet2分钟
Percentage Points of the T Distribution (Table)2分钟
Excel Functions for the Standard Normal and T Distributions2分钟
Percentage Points of the Chi-Squared Distribution (Table)2分钟
Excel Functions for the Chi-Squared Distribution2分钟
Guided Workshop 210分钟
Week 3 Excel Files2分钟

3个作业总计90分钟

Week 2 Practice Quiz30分钟
Guided Workshop 2 Submission30分钟
Week 2 Graded Quiz30分钟

1个讨论话题总计5分钟

(OPTIONAL) Week 2 Discussion5分钟

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.

涵盖的内容

14个视频3篇阅读材料3个作业1个讨论话题

14个视频总计100分钟

Introduction to Hypothesis Testing, Part 16分钟
Introduction to Hypothesis Testing, Part 28分钟
Hypothesis Tests on the Mean Using Confidence Intervals10分钟
The Test Statistic Approach to Hypothesis Testing10分钟
Using P-Values for Hypothesis Testing on the Mean, Part 16分钟
Using P-Values for Hypothesis Testing on the Mean, Part 27分钟
Type I and Type II Errors9分钟
Example: Type II Error5分钟
Power of the Test4分钟
Choice of Sample Size and OC Curves7分钟
Choice of Sample Size, Variance Unknown2分钟
Hypothesis Tests on the Variance8分钟
Hypothesis Tests on a Binomial Proportion8分钟
Guided Workshop 3: Real-Time Power Calculator10分钟

3篇阅读材料总计14分钟

Week 3 Cheat Sheet2分钟
Guided Workshop 310分钟
Week 4 Excel Files2分钟

3个作业总计90分钟

Week 3 Practice Quiz30分钟
Guided Workshop 3 Submission30分钟
Week 3 Graded Quiz30分钟

1个讨论话题总计5分钟

(OPTIONAL) Week 3 Discussion5分钟

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.

涵盖的内容

8个视频6篇阅读材料3个作业1个讨论话题

8个视频总计67分钟

Comparison of Means, Variance Known (Part 1)9分钟
Comparison of Means, Variance Known (Part 2)7分钟
Comparison of Means, Variance Unknown (Part 1)7分钟
Comparison of Means, Variance Unknown (Part 2)4分钟
Paired T-tests9分钟
The F Distribution and Comparison of Variances9分钟
Comparison of Proportions 5分钟
Guided Workshop 4: Two-Sample T-Test Calculator17分钟

6篇阅读材料总计28分钟

Week 4 Cheat Sheet2分钟
Comparison of Means Flowchart2分钟
Excel Functions for the F Distribution10分钟
Percentage Points of the F Distribution (Table)2分钟
Guided Workshop 410分钟
Week 5 Excel Files2分钟

3个作业总计90分钟

Week 4 Practice Quiz30分钟
Guided Workshop 4 Submission30分钟
Week 4 Graded Quiz30分钟

1个讨论话题总计5分钟

(OPTIONAL) Week 4 Discussion5分钟

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.

涵盖的内容

10个视频3篇阅读材料3个作业1个讨论话题

10个视频总计108分钟

Linear Regression, Part 1: Simple Linear Models (Straight Line)9分钟
Linear Regression, Part 2: General Linear Models12分钟
Linear Regression, Part 3: Multilinear Regression10分钟
Simple Linear Regression Using Least Squares Estimators12分钟
Hypothesis Tests for Simple Linear Regression12分钟
Confidence Intervals on Slope and Intercept12分钟
Examples: Confidence Interval on the Slope9分钟
Confidence Interval on the Mean Response11分钟
Coefficient of Determination and Adjusted R-Squared8分钟
Guided Workshop 5: Prediction Interval for a Future Observation14分钟

3篇阅读材料总计14分钟

Week 5 Cheat Sheet2分钟
Guided Workshop 510分钟
Week 6 Excel Files2分钟

3个作业总计90分钟

Week 5 Practice Quiz30分钟
Guided Workshop 5 Submission30分钟
Week 5 Graded Quiz30分钟

1个讨论话题总计5分钟

(OPTIONAL) Week 5 Discussion5分钟

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).

涵盖的内容

7个视频3篇阅读材料3个作业1个讨论话题

7个视频总计97分钟

Matrix Approach to Multiple Linear Regression11分钟
Statistical Properties of Least Squares Estimators12分钟
Hypothesis Tests in Multiple Linear Regression, Part 110分钟
Hypothesis Tests in Multiple Linear Regression, Part 210分钟
Confidence Intervals in Multiple Linear Regression9分钟
Introduction to Nonlinear Regression (Logistic Regression)14分钟
Guided Workshop 6: Real-Time Multilinear Regression Calculator31分钟

3篇阅读材料总计14分钟

Week 6 Cheat Sheet2分钟
Guided Workshop 610分钟
Week 7 Excel Files2分钟

3个作业总计90分钟

Week 6 Practice Quiz30分钟
Guided Workshop 6 Submission30分钟
Week 6 Graded Quiz30分钟

1个讨论话题总计5分钟

(OPTIONAL) Week 6 Discussion5分钟

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.

涵盖的内容

4个视频2篇阅读材料4个作业1个讨论话题

4个视频总计48分钟

Single-Factor ANOVA: Introduction and Terminology9分钟
Single-Factor ANOVA: Partitioning the Sum of Squares and Creating the ANOVA Table11分钟
Single-Factor ANOVA: Comparison of Means6分钟
Guided Workshop 7: Two-Way Analysis of Variance22分钟

2篇阅读材料总计12分钟

Week 7 Cheat Sheet2分钟
Guided Workshop 710分钟

4个作业总计120分钟

Week 7 Practice Quiz30分钟
Guided Workshop 7 Submission30分钟
Week 7 Graded Quiz30分钟
Final Graded Quiz30分钟

1个讨论话题总计5分钟

(OPTIONAL) Week 7 Discussion5分钟

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位教师

Charlie Nuttelman

University of Colorado Boulder

10 门课程485,526 名学生

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University of Colorado Boulder

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已于 Sep 11, 2024审阅

The Specialization is a very thorough learning about Statistics with many examples for us to understand the principles. Some modules are hard but fun.

已于 Nov 2, 2025审阅

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.

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