Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics . This text is highly regarded because of its engaging and understandable introduction to statistics. The author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market. Students learning from Elementary Statistics should have completed an elementary algebra course. Although formulas and formal procedures can be found throughout the text, the emphasis is on development of statistical literacy and critical thinking.
Mesmerising, heady, simultaneously illuminating and occulting stuff. Like all statistics. Always. Ok, I'm kidding. Still, it's a nice refresher to flip through. My edition: 13th ed. Dd 2018
This was apparently the first edition of Triola's now-well-known [i]Elementary Statistics[/i]. My wife got it back in graduate school at Penn State from an advisor who gave it to her in case she needed it for statistical analysis of her research. She never used it, and I dug it out of a box in December of 2012, about 20 years after she got it from her advisor. Though I had a BS in physics, I had never taken a stats class and really felt the lack, so I decided to work through this book.
It was a good intro to stats. I knew much of it already, of course, but it did help fill in the gaps of my knowledge and gave me a better basis for understanding e.g. variance and standard deviation. I would have preferred something more rigorously mathematical, but beggars can't be choosers, and the book is (as its title proclaims) an elementary intro to stats, not an indepth treatment. Can't fault a textbook for being exactly what it claims to be.
In the end, I enjoyed working through the book, which took about four months of more or less daily effort spread out over a year. There were lots of problems with this first edition, of course, including wrong answers in the back, but that's what you get in a first edition textbook. I'm sure Triola's books have gotten better.
It started off good with being able to understand and figure things out on your own. At around Chapter 5 it became confusing and terminology was too technical. When dealing with math you really need to speak in layman's terms so everyone just gets it. The book became irrelevant after awhile.
Very acceptable as a textbook. Although the author gets a bit too wordy at points (create a frequency based on the midpoints of the blah, blah, blahs...), he has a very realistic attitude toward the introductory statistics student. He realizes that statistics probably isn't any fun for the student and tries to make it interesting, and has a witty, tongue-in-cheek style that makes the book bearable. He also points out the most important thing to remember from each chapter section, making it easier for the student to study. He also makes many comparisons to the liberal arts, making statistics much more understandable for a student like me: good with English, bad with numbers. I would have given this book 4 stars for it's category... but really, who can say they "really liked" a math book?
I had to read this for a college statistics class.
I love statistics. So I should be able to at least appreciate a textbook on the subject right? Well, this one is poorly organized and made it unnecessarily difficult to find what you were looking for. I got an A in the class but I give the book a D.
That the book had good organization as whole, but assumed that the reader should know certain facts/inform; lacked descriptiveness and mathematical flow. Should have used more mathematics in solutions and broken them out step by step, not assume that the reader knew what was happening between omitted steps.
Would not recommend the book to as a learning tool, only as a reference book.
everything you need to build a very solid foundation in stats. I actually enjoyed working through this book quite a lot. Math is not my stong suit, but I didn't struggle with this guide.
Good book to learn from if your interested in statistics. Some of the formulas are a little hard to grasp at times but that is how any higher form of math is.
I really liked this textbook! I rented the ebook, as my professor provided online access to the software (so I didn't need any code) It arrived in very nice condition, and the textbook itself was laid out in a very logical, easy-to-read manner, with sidebars explaining various real-world applications of the material. Each chapter was laid out the same way, with a colored box containing all of the relevant requirements and formulas and a reminder of what each letter or symbol meant within the formulas. At the end of each chapter were colored boxes showing you how to perform the calculations using different types of technology. The author inserted his dry wit at various points throughout the text, which I enjoyed immensely. Let me put it this way: I'm a middle-aged woman returning to college. I hadn't done the math for at least 12 years prior to this, and I had two years between my first statistics class and my second. In the first week of Statistics two, it became clear that my last class left off at chapter 5, while this class picked up at chapter 9. I was still able to get caught up quickly, understand the material, and pass the class with an A, using only this book--no other materials.
This review is for 6th edition. This is very solid package of Statistics. I'd say this contains everything you need to know unless you are doing major in statistics or working as a statistician. Of course you also have to know/learn how to use your tool of choice: R, Python, SPSS, JASP, Statdisk...
In this book process from hypothesis to conclusions is repeated over and over again with different concepts. You will be analysing means, variances, differences, runs etc. and then comparing results to the critical values. After finishing this book, you will be ready for your real life projects.
There is lot of examples and exercises from real life. And lot of interesting little stories too. Highly recommended for anyone who will need statistics in his/her studies or work.
This best-selling text is written for the introductory statistics course and students majoring in any field. Although the use of algebra is minimal, students should have completed at least an elementary algebra course. In many cases, underlying theory is included, but this book does not stress the mathematical rigor more suitable for mathematics majors. Elementary Statistics is appropriate for students pursuing careers in a variety of disciplines. The text emphasizes interpretating data.
It was not very helpful at all. The examples need to give more detail. The whole chapters are examples, but they are so short or they skip major parts in showing you have to do the problems.
Required reading. Some chapters were easier to follow than others, lots of interesting tidbits in the corners. Chapter at end on ethics was interesting but quite short. Heavy on math mechanics.