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Statistical Analysis with Excel For Dummies, by Joseph Schmuller
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Take the mystery out of statistical terms and put Excel to work!
If you need to create and interpret statistics in business or classroom settings, this easy-to-use guide is just what you need. It shows you how to use Excel's powerful tools for statistical analysis, even if you've never taken a course in statistics. Learn the meaning of terms like mean and median, margin of error, standard deviation, and permutations, and discover how to interpret the statistics of everyday life. You'll learn to use Excel formulas, charts, PivotTables, and other tools to make sense of everything from sports stats to medical correlations.
- Statistics have a reputation for being challenging and math-intensive; this friendly guide makes statistical analysis with Excel easy to understand
- Explains how to use Excel to crunch numbers and interpret the statistics of everyday life: sales figures, gambling odds, sports stats, a grading curve, and much more
- Covers formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends, and correlations
- Clarifies statistical terms such as median vs. mean, margin of error, standard deviation, correlations, and permutations
Statistical Analysis with Excel For Dummies, 3rd Edition helps you make sense of statistics and use Excel's statistical analysis tools in your daily life.
- Sales Rank: #281304 in eBooks
- Published on: 2013-03-14
- Released on: 2013-03-14
- Format: Kindle eBook
From the Back Cover
Learn to:
- Understand common statistical terms
- Interpret sales figures, gambling odds, sports stats, and more
- Use Excel formulas, functions, charts, and PivotTables
- Develop a grading curve or medical correlations
Forget the mumbo-jumbo!
Statistical analysis with Excel can be easy — and useful, too
Stunned by statistics? Exhausted by Excel? Relax! This book makes it easy to learn statistical analysis and actually use it to interpret the statistics of everyday life. Take your Excel knowledge to a new level as you discover how to use Excel's perfectly designed tools to analyze and understand data, predict trends, make decisions, and much more.
- The scoop on stats — learn about statistical concepts such as samples and populations, variables, and probability
- New Excel stuff — check out naming conventions, new functions, and other elements that are different in Excel 2013
- Striking sparks — discover the cool new "sparklines" feature that lets you quickly create small graphs to illustrate data trends
- Means to an end — understand means, medians, and modes and the worksheet functions associated with them
- Reasonable estimation — work with sampling distributions for estimation and understand the all-important Central Limit Theorem
- It's probable — explore Excel's rich set of built-in capabilities for understanding and applying probability
- Send in the data — see how to import data from databases, the web, or from text
Open the book and find:
- A roundup of new Excel capabilities
- Different types of hypothesis testing
- Tools and instructions just for Mac users
- What ANOVA means and why you must know
- Statistical and graphical tips and traps
- How Excel can pinch-hit as a database
- What to do with random variables
- Appendixes that delve into specific tools and tricks
About the Author
Joseph Schmuller, PhD, is a technical architect at Blue Cross-Blue Shield of Florida. An adjunct professor at the University of North Florida, he is a former member of the American Statistical Association and has taught statistics at the undergrad, honors undergrad, and graduate levels.
Most helpful customer reviews
60 of 60 people found the following review helpful.
Excellent
By R Smith
This book is excellent for seasoned Excel users and people who were taught (but didn't learn) statistics in your average graduate school program. I have never seen statistical concepts so briefly and at the same time well explained. Actually applying the concepts adds another level of learning. I highly recommend this book.
54 of 59 people found the following review helpful.
Excellent Reference, Not For Beginners.
By RaCat
I bought this book to help me with the statistical analyses involved with my senior dissertation at my university. I am a psychology major and I could use all the help I could get understanding the Results Sections in the literature. This book explains all kinds of statistics, including the very helpful ANOVA and regression analysis amongst many other. However, it doesn't explain very well when or why you use these statistics. They don't provide many examples of research or problems that require such analyses. This book is great for a step by step tutorial using Excel and handwriting statistics problems, and reading your data.... but unless you have an idea of what you're looking for in the first place, don't bother. I am totally ignorant to statistical analyses and coming into this book, I didn't know when to use ANCOVA or even what precisely it was demonstrating in relation to the research I am conducting... and I still only have a vague idea... Hopefully this will all be explained in course. But, this is a valued reference for all Excel users, without a doubt!!
44 of 51 people found the following review helpful.
More Than a Simple Spread Sheet
By John Matlock
Excel is of course first and foremost a spreadsheet. They were designed to allow you to play what if senarios. You can change this part of the budget to see what the effect is over there.
But beyond the spread sheet functionality Excel has numerous functions and capabilities to do all kinds of analysis capabilities.
This book is on using these functions to perform a whole range of statistical functions. Not only does this book cover the functions themselves, but gives the background and description of what this particular kind of function is doing. Both numerical analysis and charting functions are included and in detail.
Don't skip the part in this book called the Part of Tens. This section in the For Dummies books often has some interesting points, but here the summation of statistical limitations is just great.
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