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Head First Statistics: A Brain-Friendly Guide ペーパーバック – イラスト付き, 2008/9/30
購入オプションとあわせ買い
Whether you're a student, a professional, or just curious about statistical analysis, Head First's brain-friendly formula helps you get a firm grasp of statistics so you can understand key points and actually use them. Learn to present data visually with charts and plots; discover the difference between taking the average with mean, median, and mode, and why it's important; learn how to calculate probability and expectation; and much more.
Head First Statistics is ideal for high school and college students taking statistics and satisfies the requirements for passing the College Board's Advanced Placement (AP) Statistics Exam. With this book, you'll:
- Study the full range of topics covered in first-year statistics
- Tackle tough statistical concepts using Head First's dynamic, visually rich format proven to stimulate learning and help you retain knowledge
- Explore real-world scenarios, ranging from casino gambling to prescription drug testing, to bring statistical principles to life
- Discover how to measure spread, calculate odds through probability, and understand the normal, binomial, geometric, and Poisson distributions
- Conduct sampling, use correlation and regression, do hypothesis testing, perform chi square analysis, and more
Before you know it, you'll not only have mastered statistics, you'll also see how they work in the real world. Head First Statistics will help you pass your statistics course, and give you a firm understanding of the subject so you can apply the knowledge throughout your life
- 本の長さ716ページ
- 言語英語
- 出版社O'Reilly Media
- 発売日2008/9/30
- 寸法20.32 x 3.81 x 23.5 cm
- ISBN-100596527586
- ISBN-13978-0596527587
商品の説明
著者について
Dawn Griffiths started life as a mathematician at a top UK university. She was awarded a First-Class Honours degree in Mathematics, and was offered a university scholarship to undertake a PhD studying particularly rare breeds of differential equations. She moved away from academia when she realized that people would stop talking to her at parties, and went on to pursue a career in software development instead. She currently combines IT consultancy with writing and mathematics.
When Dawn's not working on Head First books, you'll find her honing her Tai Chi skills, making bobbin lace or cooking nice meals. She hasn't yet mastered the art of doing all three at the same time.
She also enjoys traveling, and spending time with her lovely husband, David.
登録情報
- 出版社 : O'Reilly Media; Illustrated版 (2008/9/30)
- 発売日 : 2008/9/30
- 言語 : 英語
- ペーパーバック : 716ページ
- ISBN-10 : 0596527586
- ISBN-13 : 978-0596527587
- 寸法 : 20.32 x 3.81 x 23.5 cm
- Amazon 売れ筋ランキング: - 381,293位洋書 (洋書の売れ筋ランキングを見る)
- - 2,266位Probability & Statistics
- - 3,794位Professional Applied Mathematics
- カスタマーレビュー:
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There are no shortage of stats resources online but a lot are lacking in some respect. This book is one of the few standout resources in my experience.
Like all self-study books should be - but which so few are - it is deliberately engineered to help you remember stuff. That means cheesy jokes, funny characters, and memorable stories. Yes you will be helping "Fat Dan" work out whether his slot machines are rigged with a chi-square test and whether the popcorn machine will not break in the forthcoming week with the Poisson distribution.
I actually laughed out loud at some of the way the stuff is presented and found it very enjoyable solving most of the problems. Each chapter has something like a mini-quest.
What does the book cover? Ways of measuring the centre and spread of data (with mean, median, variance and standard deviation); plots and graphs; probability; discrete probability distributions; combinations and permutations; continuous probability distributions; confidence intervals; hypothesis testing; chi-square; correlation and regression.
Dawn Griffiths did an excellent job here of conveying a lot of information in a very fun and intuitive way. The explanations are top notch, and a lot of time the concepts are repeated in different ways so they stick a bit more.
The only "criticism" I'd give is that some symbols seem to be missing and replaced with square boxes, this must be a printing issue, while in other cases the icons obscure the text.
I'll be keeping an eye on the other Head First books.
The greatest strength of this book is the progressive way it builds understanding by clearly explaining exactly what each statistical function means, what the results of each function shows about the data, and when it should-- and shouldn't-- be applied. By the end, anyone who reads carefully and does the exercises will have a pretty firm grip on the essentials of statistical analysis.
The book is unusual in its concept and design, too. The concepts are served up in easily digestible bites with lots of graphics, useful sidebars containing supplemental information, and exercises based on practical, real-world cases. No math beyond basic algebra is necessary for doing any of the exercises in the book. Finally, the tone is light and conversational, but it isn't at all condescending or cutsie.
This most certainly is not an advanced textbook or a comprehensive reference manual. However, for anyone who needs an introductory text or a review for a stats exam, this is the book to get. I recommend it most highly.
I used it to prepare to a Masters in Data Science, coming from many years away any statistics studies, and found that the book couldn't have been more clear in both the explanations and illustrations.
I personally first studied the topics off the book and then chapter by chapter put everything down in Python code into my Jupyter Notebook. This way allowed me to get a good understanding of the topics both theoretically and practically (as I won't be using any pen and paper to do the calculations) and perfectly suited what I will have to do. If you work in Excel, R or use any other software/language I'd recommend to do the same.
Overall I definitely feel this book helped a lot and now that I'm approaching more difficult statistical topics I find those easier to grasp due to the solid understanding of what they are "built" on.
I hope this helps.