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Statistics and Data Analysis with Excel, Part 2

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Statistics and Data Analysis with Excel, Part 2

Dieser Kurs ist Teil von Spezialisierung „Statistics and Applied Data Analysis“

Dozent: Charlie Nuttelman

1.648 bereits angemeldet

Bei enthalten

Mehr erfahren

7 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

7 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Regression Analysis
Kategorie: Statistical Methods
Kategorie: Analysis
Kategorie: Data Analysis Software
Kategorie: Statistical Modeling
Kategorie: Statistical Hypothesis Testing
Kategorie: Data Analysis
Kategorie: Probability & Statistics
Kategorie: Probability
Kategorie: Probability Distribution
Kategorie: Statistical Inference
Kategorie: Statistical Analysis
Kategorie: Sampling (Statistics)
Kategorie: Excel Formulas

Werkzeuge, die Sie lernen werden

Kategorie: Microsoft Excel
Kategorie: Statistical Software

Wichtige Details

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20 Aufgaben

Unterrichtet in Englisch

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Dieser Kurs ist Teil der Spezialisierung Spezialisierung „Statistics and Applied Data Analysis“

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In diesem Kurs gibt es 7 Module

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.

Moduldetails

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.

Das ist alles enthalten

5 Videos6 Lektüren1 Aufgabe1 Diskussionsthema

5 VideosInsgesamt 31 Minuten

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

6 LektürenInsgesamt 21 Minuten

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

1 AufgabeInsgesamt 2 Minuten

Unlock Quiz for Week 2 Files2 Minuten

1 DiskussionsthemaInsgesamt 10 Minuten

What About You?10 Minuten

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.

Das ist alles enthalten

11 Videos7 Lektüren3 Aufgaben1 Diskussionsthema

11 VideosInsgesamt 83 Minuten

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

7 LektürenInsgesamt 22 Minuten

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

3 AufgabenInsgesamt 90 Minuten

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

1 DiskussionsthemaInsgesamt 5 Minuten

(OPTIONAL) Week 2 Discussion5 Minuten

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.

Das ist alles enthalten

14 Videos3 Lektüren3 Aufgaben1 Diskussionsthema

14 VideosInsgesamt 100 Minuten

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

3 LektürenInsgesamt 14 Minuten

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

3 AufgabenInsgesamt 90 Minuten

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

1 DiskussionsthemaInsgesamt 5 Minuten

(OPTIONAL) Week 3 Discussion5 Minuten

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.

Das ist alles enthalten

8 Videos6 Lektüren3 Aufgaben1 Diskussionsthema

8 VideosInsgesamt 67 Minuten

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

6 LektürenInsgesamt 28 Minuten

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

3 AufgabenInsgesamt 90 Minuten

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

1 DiskussionsthemaInsgesamt 5 Minuten

(OPTIONAL) Week 4 Discussion5 Minuten

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.

Das ist alles enthalten

10 Videos3 Lektüren3 Aufgaben1 Diskussionsthema

10 VideosInsgesamt 108 Minuten

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

3 LektürenInsgesamt 14 Minuten

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

3 AufgabenInsgesamt 90 Minuten

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

1 DiskussionsthemaInsgesamt 5 Minuten

(OPTIONAL) Week 5 Discussion5 Minuten

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).

Das ist alles enthalten

7 Videos3 Lektüren3 Aufgaben1 Diskussionsthema

7 VideosInsgesamt 97 Minuten

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

3 LektürenInsgesamt 14 Minuten

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

3 AufgabenInsgesamt 90 Minuten

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

1 DiskussionsthemaInsgesamt 5 Minuten

(OPTIONAL) Week 6 Discussion5 Minuten

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.

Das ist alles enthalten

4 Videos2 Lektüren4 Aufgaben1 Diskussionsthema

4 VideosInsgesamt 48 Minuten

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