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Microsoft Excel 2003 for Statistics Tutorial

About this Tutorial show 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 introduce you to the basics of statistics, statistical analysis, and statistical graphing with Microsoft Excel.
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Microsoft Excel 2003 for Statistics Tutorial Information
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Author: Mark and Elizabeth Clarkson
Duration: 8 hrs / 104 video lessons
Cost for UK: £79.95 + VAT
Cost for EU: €107.95 + VAT
Cost for US & Canada: $125.00
Product Code: 33751
Delivery: Please allow 2-3 days for UK & Europe, 3-5 days US & rest of world
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Compatibility: Win Vista, XP, 2000, 98, NT, Mac OS X, OS 9
 
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• Transfers knowledge to you quickly and effectively.
• Step by step video training from your own desktop via CD ROM or online tuition.
• All the concepts of each application are explained clearly and precisely.
• Every course works on PC and Mac.
• Alternative to a boring book or manual and expensive training courses & classes.
• Jump to and from lessons - learn at your own pace.
• Tuition by expert authors.
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Associated Training CDs:
Microsoft Access 2003 | Microsoft Excel 2000 | Microsoft Excel 2003 | Microsoft Word 2003 | Microsoft PowerPoint 2003 | Microsoft Excel 2007 | Microsoft Word 2007 | Microsoft PowerPoint 2007 | Complete range of Microsoft Excel Tutorials
 
Complete CD Contents and 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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