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Microsoft Excel 2003 for Statistics Tutorial

 Professionally created, self-study video training.

About this Tutorialshow details
Start to get the most out of the world's best-selling mathematical application with this advanced Microsoft Excel tutorial. Although not a statistical application, Excel can perform many basic statistical tasks, from computing simple descriptive statistics such as mean and standard deviation, to complex regression analyses, chi-squared & t tests, and Analysis of Variance (ANOVAs). Join Mark and Beth Clarkson as they use easy to follow video training movies to introduce you to the basics of statistics, statistical analysis, and statistical graphing with Microsoft Excel. You can start learning some of the more advanced and exciting features of MS Excel right now, click any of the blue linked lessons below for FREE training movies...
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Microsoft Excel 2003 for Statistics Tutorial Info

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Tutor: Mark and Elizabeth Clarkson
Duration: 8 hrs / 104 video lessons
Cost for UK: £79.95 + VAT
Cost for EU: €84.95 + VAT
Cost for US & Canada: $124.95
Product Code: 33751
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Associated Training CDs:
Microsoft Excel Automation | Microsoft Certified Application Specialist (MCAS) | MCTS Certification Exam 70-640 | Microsoft Project 2010 | Microsoft Excel 2007 | Microsoft Word 2007 | MS PowerPoint 2007 | Complete Range of Advanced Excel Tutorials
 
CD CONTENTS & FREE VIDEO TUTORIALS
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Introduction
Instructors & Overview of Course
Values & Variables - Important Terms

Data Validation
Preparing to Enter Data
Number / Date / Custom Error Messages
Validating List Data
Using Custom Warnings

Statistical Distributions
Terms & Concepts
The Normal Distribution
The Binomial Distribution - Lesson 1
The Binomial Distribution - Lesson 2
The Poisson Distribution

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Generating Random Data
Patterns / Dates / Uniform Distribution
Binary / Bernoulli / Normal Distribution
Poisson & Custom Distributions

Probability
Probability Terms & Definitions - Lesson 1
Probability Terms & Definitions - Lesson 2
The Laws of Probability
Computing Independent Probabilities - Lesson 1
Computing Independent Probabilities - Lesson 2
Computing Dependent Probabilities
Selecting a Random Sample: Set Up
Selecting a Random Sample: Execution
Sampling from a List - Lesson 1
Sampling from a List - Lesson 2
Sampling an Existing Database - Lesson 1
Sampling an Existing Database - Lesson 2
Adding Data to an Existing Database

Descriptive Statistics
The Default Histogram
Improving the Histogram with Custom Bins
Creating Descriptive Statistics
Using Inline Functions
A Histogram of 2006 Restaurant Bills
Unconfounding The Data - Lesson 1
Unconfounding The Data - Lesson 2
The Pareto Chart - Lesson 1
The Pareto Chart - Lesson 2

Computing Probabilities w/ Distributions
Using the Binomial - Lesson 1
Using the Binomial - Lesson 2
Using Compliments
Using the Poisson
Building a Histogram
When to Use the Normal Distribution
Computing Probabilities with Normdist()
Norminv() / Normal vs. Poisson

Relationships
Relationships in Anscombe's Data
The Types of Graphs in Excel
Pivot Tables & Pivot Charts
Scatter Diagrams
Pivot Tables with Multiple Variables
Pivot Tables & Pivot Charts - Lesson 1
Pivot Tables & Pivot Charts - Lesson 2
Chi-Squared: Getting Ready
Chi-Squared: How Chi-Squared Works
Chi-Squared: Expected Values
Chi-Squared: Computing Expected Values
Chi-Squared: Summarizing the Data
A 2nd Chi-Squared Test - Lesson 1
A 2nd Chi-Squared Test - Lesson 2
Finishing Our 2nd Chi-Squared Test
Intro to Correlation
Your First Correlation In Date & Bill
Computing More Correlations

Graphical analysis
Improving Our Histogram
Reformatting Our Scatter Chart
Formatting Axes & Finishing Touches
Other Chart Options
Graphing Multiple Variables
Multiple Variables: The Plot Area
Multiple Variables: Lines & Ordering
Multiple Variables: Axes & Titles

Inferential Statistics - Regression
The Trend Line
R-Squared & the Regression Equation
Regression: R-Squared & Significance
Coefficients & Residuals
Residual & Line Fit Plots
Making Predictions
Identifying Data Sets for Regression
The Pivot Table - Lesson 1
The Pivot Table - Lesson 2
Regression by Total Bill
Regression by Average Bill - Lesson 1
Regression by Average Bill - Lesson 2
Regression by Type
Banquet Estimates
Estimating Our Error
Buffet Estimates

Inferential Statistics in ANOVA
t-Test: Setting Up the t-Test
t-Test: Consulting Our Pivot Table
t-Test: Running the t-Test
t-Test: Interpreting the Results
ANOVA: Introduction
ANOVA: Preparing the Data
ANOVA: Running ANOVA & Checking Variances
ANOVA: Interpreting the Results
ANOVA: Understanding the Statistics
Graphing the Confidence Intervals
Computing the Confidence Intervals

Wrap-up & Review
Data Classes / Validation / Distributions
Generating Data & Probability Concepts
Histograms & Descriptive Statistics
Pivot Tables / Chi-Squared / Correlation
Improving Graphs & Linear Regression
t-Test & ANOVA

Credits
About the Authors


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