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).
Statistics and Data Analysis with Excel, Part 2
Statistics and Data Analysis with Excel, Part 2
Unterrichtet auf Englisch
Stufe Mittel
Empfohlene Erfahrung
Es dauert 21 Stunden
3 Wochen bei 7 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: Simple Linear Regression
- Kategorie: Microsoft Excel
- Kategorie: Linear Regression
- Kategorie: Analysis Of Variance (ANOVA)
- Kategorie: Statistical Hypothesis Testing
Wichtige Details
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In diesem Kurs gibt es 7 Module
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 Quiz1 Diskussionsthema
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 Quizzes1 Diskussionsthema
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 Quizzes1 Diskussionsthema
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 Quizzes1 Diskussionsthema
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 Quizzes1 Diskussionsthema
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 Quizzes1 Diskussionsthema
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 Quizzes1 Diskussionsthema
Dozent
Empfohlen, wenn Sie sich für Data Analysis interessieren
University of Colorado Boulder
Rice University
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