Excel Statistical Mastery

Unlocking the Power of Test Statistics and Data Analysis

AI Textbook - 100+ pages

Publish this book on Amazon KDP and other marketplaces
With Publish This Book, we will provide you with the necessary print and cover files to publish this book on Amazon KDP and other marketplaces. In addition, this book will be delisted from our website, our logo and name will be removed from the book, and you will be listed as the sole copyright holder.

Excel Statistical Mastery

Unlocking the Power of Test Statistics and Data Analysis

Embark on an in-depth journey into the world of statistics with Excel Statistical Mastery, a comprehensive guide tailored to empower readers across all knowledge levels. This book unveils the potent combination of statistical testing and Excel's robust functionality, providing a pathway to mastering data analysis.

From beginners fascinated by data to experts in need of a refresher, each chapter is meticulously crafted, starting with foundational concepts and advancing to complex test statistics. Experience clear step-by-step instructions, practical examples, and exclusive tips to leverage Excel's tools efficiently.

Excel Statistical Mastery boasts 12 chapters that systematically explore hypothesis testing, p-values, t-tests, ANOVAs, and more. Witness how daunting data transforms into actionable insights as you learn to navigate Excel's features with precision.

Embark on this educational odyssey and make statistical tests your forte. Whether for academic, professional, or personal growth, this book is an essential resource for anyone looking to excel in data analytics using Excel.

Unlock the power of your data with Excel Statistical Mastery: the ultimate guide to performing statistical tests and discovering the test statistic using Excel.

Table of Contents

1. The Foundations of Statistics in Excel
- Understanding Data Types and Structures
- Basic Statistical Functions
- Excel's Data Management Capabilities

2. Basic Descriptive Statistics
- Measuring Central Tendency
- Variability and Dispersion
- Visualizing Data with Excel Charts

3. Diving Into Probability
- Probability Concepts and Functions
- Using Randomness in Excel
- Probability Distributions Overview

4. Hypothesis Testing Fundamentals
- Formulating Hypotheses in Excel
- The Role of p-Value
- Type I and Type II Errors

5. Understanding t-Tests
- One-sample t-Test in Excel
- Independent samples t-Test
- Paired samples t-Test

6. Analysis of Variance (ANOVA)
- One-Way ANOVA in Excel
- Two-Way ANOVA Without Replication
- Two-Way ANOVA With Replication

7. Correlation and Regression Analysis
- Correlation Coefficients in Excel
- Simple Linear Regression
- Multiple Regression Techniques

8. Non-parametric Tests in Excel
- Chi-Square Test
- Mann-Whitney U Test
- Kruskal-Wallis Test

9. Advanced Statistical Models
- Time Series Analysis
- Exponential Smoothing
- Forecasting with Regression

10. Working with Large Datasets
- Data Cleaning Techniques
- PivotTables and Advanced Filters
- Dashboard Creation for Data Summarization

11. Statistical Testing Best Practices
- Ensuring Data Validity
- Interpreting Results Accurately
- Reporting Findings

12. Continual Learning with Excel
- Excel Add-ins for Statistics
- Online Resources and Communities
- Staying Updated with Excel's Capabilities

Not sure about this book? Generate another!

Tell us what you want to publish a book about in detail. You'll get a custom AI book of over 100 pages, tailored to your specific audience.

What do you want to publish a book about?