Video description
Statistical Analysis Using Excel Volume II LiveLessons provides over 9 hours of video instruction. Means, medians and modes are one thing. Multiple regression analysis is quite another! These training videos bring it into focus.
Bestselling author and experienced consultant Conrad Carlberg provides the novice with 9+ hours of hands-on step-by-step video training on the intricacies that comprise statistical analysis. This Volume II series moves from the basics to intermediate applications and how Excel supports them: for example, the Analysis of Variance (ANOVA) and how it's supported simplistically by the Data Analysis add-in, and more powerfully by worksheet functions such as LINEST and by the combination of effect coding with Excel's lookup functions. This volume concludes with discussions and demonstrations of more advanced techniques, showing how multiple regression combines with the General Linear Model to produce the analysis of covariance, and how Excel's mixed referencing makes it easy to visualize what's going on as new vectors enter an analysis.
About the Author:
Conrad Carlberg has a doctorate in statistics from the University of Colorado, Boulder and studied under one of the foremost statisticians of the last century, Gene Glass. he is a multi-time recipient of Microsoft's MVP/Excel award, and has written somewhere around 15 books on Excel, including one originally published in 1995 and now in its 4th edition. Conrad's book Predictive Analytics: Microsoft Excel 2010 was published in July 2012.
Table of Contents
Excel Functions for Basic Inferential Statistics – Special Cases
Learning objectives
00:01:39
Independent groups, unequal variances
00:30:35
Dependent groups
00:47:10
Managing Statistical Power
Learning objectives
00:01:03
Alpha in Chart of t values
00:22:49
The standard error of mean: Standard deviation and sample size
00:19:18
Directional and nondirectional tests reviewed
00:25:20
Visual recap of how sample size, alpha, directionality mean difference influence power
00:20:27
Excel Functions for Linear Regression
Learning objectives
00:01:35
LINEST() reviewed
00:21:14
The Meaning of “Best Combination”
00:13:56
Forcing a zero intercept
00:14:38
The Data Analysis add-in’s Regression tool
00:21:54
Comparing More than Two Means with ANOVA and Regression
Learning objectives
00:01:36
Rationale for ANOVA
00:14:48
The route to the F test
00:19:44
The single factor ANOVA tool
00:31:06
Effect coding and regression
00:34:10
Factorial designs
00:28:31
Shared variance
00:47:06
Rationale for using regression instead of ANOVA
00:38:56
Multiple Comparisons
Learning objectives
00:01:28
Rationale for Multiple Comparisons
00:24:06
Planned Orthgonal Contrasts
00:19:56
Analysis of Covariance (ANCOVA)
Learning objectives
00:01:11
The rationale for ANCOVA
00:31:16
Running ANCOVA in Excel
00:28:56