<!--[if gte mso 9]> Normal 0 false false false MicrosoftInternetExplorer4 <![endif]--> <!--[if gte mso 9]> <![endif]--> <!--[if gte mso 10]> <![endif]--> For algebra-based Introductory Statistics Courses. This very popular text is written to promote student success while maintaining the statistical integrity of the course. The author draws on his teaching experience and background in statistics and mathematics to achieve this balance. Three fundamental objectives motivate this (1) to generate and maintain student interest, thereby promoting student success and confidence; (2) to provide extensive and effective opportunity for student practice; (3) Allowing for flexibility of teaching styles. Part I : Getting the Information You Data Collection; Part II : Descriptive Organizing and Summarizing Data from One Variable; Numerically Describing Data from One Variable; Describing the Relation between Two Variables; Part III : Probability and Probability Distributions, Probability, Discrete Probability Distributions; The Normal Probability Distribution; Part IV : Inference - From Samples to Population, Sampling Distributions; Estimating the Value of a Parameter Using Confidence Intervals; Testing Claims Regarding a Parameter; Inference on Two Samples; Inference on Categorical Data; Comparing Three or More Means; Inference on the Least-squares Regression Model and Multiple Regression; Nonparametrics (ON CD); For all readers interested in statistics.
Mike Sullivan III is a professor of mathematics at Joliet Junior College. He holds graduate degrees from DePaul University in both mathematics and economics. Mike is an author or co-author on more than 20 books, including a statistics book and a developmental mathematics series.
Statistics is an important and practical subject, and Sullivan does a great job bringing in a variety of concrete examples of application. In fact there are always more than enough practice exercises. I'm not going to give a full review, but note a couple key observations. We were working from a hard and softcover edition, and they differed in the number of chapters and topics included. I did not discover this until we were underway. There were some times when I had a hard time understanding what Sullivan was trying to communicate formulaically even when I thought I understood the concept. I prefer Salman Khan's approach of explaining the intuition, and using the formula if it helps. I certainly consulted Khan Academy and other resources to get through this book at home with my kids. Some of the applications of standard deviation were challenging for me. I really appreciated having the teacher's edition solutions for half of the problems.
The online portion and class course can be manageable, but the book itself it terrible for anyone who is totally new to statistics. It explains everything in the most math-savvy way possible. Which you’d think makes sense, right? Well if you don’t know half the terms in a vital point of explanation, you are going to be lost for a good while rummaging through chapters or Google just to understand the meaning of a sentence, and thats if the way it is worded isn't over the top. If i were to generalize the way the book explains everything, imagine if someone wrote the book exactly as a normal person would, and then someone else took the whole book and switched out half the words for less commonly used words off of thesaurus.com and key words at the end of chapters from other chapters/books in order to save word space. You're left with something that primarily only makes sense to people who already have a strong understanding of the subject. the book should open the opportunity to teach yourself where another person cannot, but this book does no such thing. If you have a confusing professor, i sincerely hope you have the means and the resources to learn from something other than the book.
———————————2.5/5 stars——————————— It’s not just that statistics is a terrible class, I just hate the way textbooks are written when they can explain concepts in more plain terms. I do like that it includes instructions for ti 83/84, minitab, and excel though. Some things weren’t completely explained, and it took me a while to understand where they were coming from in some examples.
I can't say I really liked this book, because I really don't like the subject matter. I took statistics about 20 years ago and really hated it. I just took it again for a different degree program, and I have to say that this particular text made statistics more enjoyable than the first time around. The text was easy to follow, and the online component was a great learning tool.
poorly organized. NOT user friendly in the slightest. needed more page references to the frequently used charts to help you more easily navigate this behemoth. wouldn’t recommend.
This isn't the exact book but it's the closest I could find. The one I'm reading is a custom edition for my school. I wasn't a fan of this book but only because it has to do with math and I am TERRIBLE at math.