《Statistical analysis _ Microsoft Excel 2016》

dianzishu

Contents
Introduction
Using Excel for Statistical Analysis
What’s in This Book
1. About Variables and Values
Variables and Values
Scales of Measurement
Charting Numeric Variables in Excel
Understanding Frequency Distributions
2. How Values Cluster Together
Calculating the Mean
Calculating the Median
Calculating the Mode
From Central Tendency to Variability
3. Variability: How Values Disperse
Measuring Variability with the Range
The Concept of a Standard Deviation Calculating
the Standard Deviation and Variance Bias in the
Estimate and Degrees of Freedom Excel’s
Variability Functions
4. How Variables Move Jointly: Correlation
Understanding Correlation
Using Correlation
Using TREND() for Multiple Regression
5. Charting Statistics
Characteristics of Excel Charts
Histogram Charts Boxand-
Whisker Plots
6. How Variables Classify Jointly: Contingency Tables
Understanding One-Way Pivot Tables
Making Assumptions
Understanding Two-Way Pivot Tables
The Yule Simpson Effect Summarizing
the Chi-Square Functions
7. Using Excel with the Normal Distribution
About the Normal Distribution
Excel Functions for the Normal Distribution
Confidence Intervals and the Normal Distribution
The Central Limit Theorem
8. Telling the Truth with Statistics
A Context for Inferential Statistics
Problems with Excel’s Documentation
The F-Test Two-Sample for Variances
Reproducibility
A Final Point
9. Testing Differences Between Means: The Basics
Testing Means: The Rationale Using
the t-Test Instead of the z-Test
10. Testing Differences Between Means: Further Issues
Using Excel’s T.DIST() and T.INV() Functions to Test Hypotheses
Using the T.TEST() Function
Using the Data Analysis Add-in t-Tests
11. Testing Differences Between Means: The Analysis of Variance
Why Not t-Tests?
The Logic of ANOVA
Using Excel’s F Worksheet Functions
Unequal Group Sizes
Multiple Comparison Procedures
12. Analysis of Variance: Further Issues
Factorial ANOVA
The Meaning of Interaction
The Problem of Unequal Group Sizes
Excel’s Functions and Tools: Limitations and Solutions
13. Experimental Design and ANOVA
Crossed Factors and Nested Factors
Fixed Factors and Random Factors
Calculating the F Ratios
Randomized Block Designs Split-
Plot Factorial Designs
14. Statistical Power
Controlling the Risk
The Statistical Power of t-Tests
The Noncentrality Parameter in the F-Distribution
Calculating the Power of the F-Test
15. Multiple Regression Analysis and Effect Coding: The Basics
Multiple Regression and ANOVA
Multiple Regression and Proportions of Variance
Assigning Effect Codes in Excel
Using Excel’s Regression Tool with Unequal Group Sizes
Effect Coding, Regression, and Factorial Designs in Excel
Using TREND() to Replace Squared Semipartial Correlations
16. Multiple Regression Analysis and Effect Coding: Further Issues
Solving Unbalanced Factorial Designs Using Multiple Regression
Experimental Designs, Observational Studies, and Correlation
Using All the LINEST() Statistics
Looking Inside LINEST()
Managing Unequal Group Sizes in a True Experiment Managing
Unequal Group Sizes in Observational Research
17. Analysis of Covariance: The Basics
The Purposes of ANCOVA
Using ANCOVA to Increase Statistical Power
Testing for a Common Regression Line Removing
Bias: A Different Outcome
18. Analysis of Covariance: Further Issues
Adjusting Means with LINEST() and Effect Coding
Effect Coding and Adjusted Group Means Multiple
Comparisons Following ANCOVA
The Analysis of Multiple Covariance
When Not to Use ANCOVA