Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel Fifth Edition ISBN: 9781071803882
Original price was: $145.99.$54.99Current price is: $54.99.
Product Details
- Condition: New
- Publisher: SAGE Publications, Inc
- Language: English
- Paperback: 512 pages
- ISBN: 9781071803882
- Item Weight: 1.75 pounds
- Dimensions: 7 x 1.16 x 10 inches
Description
This Fifth Edition of Neil J. Salkind’s Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel, presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Opening with an introduction to Excel, including coverage of how to use functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. New to the Fifth Edition is new co-author Bruce Frey who has added a new feature on statisticians throughout history (with a focus on the contributions of women and people of color). He has updated the “Real-World Stats” feature, and added more on effect sizes, updated the discussions on hypotheses, measurement concepts like validity and reliability, and has more closely tied analytical choices to the level of measurement of variables.
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| Weight | 1.75 lbs |
|---|---|
| Dimensions | 17.78 × 2.9464 × 25.4 in |
Kieran Wallace –
Studying in Sacramento, USA, this book makes statistics far less overwhelming. The Excel-based examples clearly explain concepts like mean, standard deviation, and regression in a practical way.
Marcus Ellington –
Based in Raleigh, USA, I liked how statistical ideas are explained in simple language before applying them in Microsoft Excel. It’s very approachable for beginners.
Preston Vaughn –
From Louisville, USA, the step-by-step screenshots make hypothesis testing and ANOVA much easier to understand and apply.
Tobias Sinclair –
Studying in Kansas City, USA, the exercises helped me connect theory with real data analysis tasks using Excel tools.
Colton Ramirez –
Based in Halifax, Canada, the conversational tone reduces the anxiety often associated with learning statistics.
Graham Holloway –
From Omaha, USA, the explanations of p-values, confidence intervals, and correlation are clear and practical.
Declan Porter –
Studying in Victoria, Canada, the gradual progression from descriptive to inferential statistics is well structured.
Wesley Barrett –
Based in Tulsa, USA, the real-world examples make data interpretation more meaningful and less abstract.
Finnegan Ross –
From Quebec City, Canada, the chapter summaries reinforce key statistical concepts effectively for exam prep.
Brody Lambert –
Studying in Pittsburgh, USA, this edition is especially helpful for students who feel hesitant about statistics but need practical Excel skills.