

Schaum's Outline of Business Statistics, Fourth Edition (Schaum's Outlines) - Kindle edition by Kazmier, Leonard J.. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Schaum's Outline of Business Statistics, Fourth Edition (Schaum's Outlines). Review: This booked helped me make a 100 - I used this book as a supplement in my statistical analysis course. I would have a basic review and do practice problems from the book in addition to my assignments. I made a perfect 100 in my course at a top tier business school. Review: Good read - Good read if you like analysys
| ASIN | B003Y8YW90 |
| Accessibility | Learn more |
| Best Sellers Rank | #1,563,616 in Kindle Store ( See Top 100 in Kindle Store ) #13 in Finite Mathematics (Kindle Store) #101 in Business Mathematics Skills #168 in Business Mathematics |
| Customer Reviews | 4.4 4.4 out of 5 stars (58) |
| Edition | 4th |
| Enhanced typesetting | Enabled |
| File size | 17.2 MB |
| ISBN-13 | 978-0071702454 |
| Language | English |
| Page Flip | Enabled |
| Print length | 736 pages |
| Publication date | October 16, 2009 |
| Publisher | McGraw Hill |
| Screen Reader | Supported |
| Simultaneous device usage | Up to 4 simultaneous devices, per publisher limits |
| Word Wise | Not Enabled |
| X-Ray | Not Enabled |
A**S
This booked helped me make a 100
I used this book as a supplement in my statistical analysis course. I would have a basic review and do practice problems from the book in addition to my assignments. I made a perfect 100 in my course at a top tier business school.
B**D
Good read
Good read if you like analysys
J**M
Good but not user friendly
This is an excellent workbook of beginning to intermediate business statistics that needs some refinement to be great. You do not need to know calculus (although it would help) to understand all the concepts in this book. I highly recommend this book as a statistics workbook for other statistics book such as "Statistics for People who Hate Statistics". This book does not cover advanced statistics that require strong knowledge of calculus. Statistics is the principal language in business mathematics. Whenever there is a need to crunch a lot of data, statistics becomes central to the analysis of the data to make meaningful conclusions, decisions, and predictions. Because of exponential growth of data and data crunching capabilities brought on by the Information Technology revolution, the utility of statistics in the business world is greater than ever. If your organization utilizes data mining and analytics and Six Sigma, for example, your understanding of your business and your ability to make good strategic and tactical decisions will be greatly enhanced with the knowledge of statistics outlined in this book. Simply put, statistics is a powerful tool (not only for business). The book covers the following concepts: 1)Analyzing Business Data 2)Graphs 3)Descriptive Measures 4)Dispersion 5)Probability 6)Binomial, Normal, hypergeometric, and poission distribution 7)Sampling and confidence intervals 8)Hypotheses and testing them. 9)Chi Square 10)ANOVA 11)Regression and correlation 12)Business forecasting 13)Decision analysis 14)Statistical Process Control. My main problem with this book is its usability. There are many typos. For example, on page 127, one of the equation states "(30)(0.20)=60" when the answer clearly should have been "6.0". In addition, many questions are unnecessarily cumbersome adding to the frustration of learning statistics. For example, in the Chapter 10 "Testing Hypothesis", question 10.11 refers to q 10.10 which refers to q 10.9 which refers to q 10.3 which refers to q 10.2 which finally refers to q 10.1. Trying to solve some of the problems on that chapter left me upset with the unnecessarily complex web of question referrals. Overall, this is a very useful workbook on Business Statistics with decent explanations and good work problems.
N**O
Fair
Statistics is a very difficult course and this is not a good book for a 6 week course. This book was not a good choice as such.
W**E
Good for CQE exam
This book was recommended for taking the Certified Quality Engineer Exam. I does provide lots of problems on statistical inference with teaching guidance on the material. You'll need that exposure if you want to survive that test. Also includes ANOVA and some SPC towards the end.
A**J
Book was for a course. Gets to the point ...
Book was for a course. Gets to the point with a lot of long reading. Problems and solutions are presented as "hand-worked", using excel and minitab.
J**N
Great book
Great book. A lot of exercises to apply concepts. I would recommend it for people that don't have a mathematical background.
C**N
Goodish
It's like a cliff notes version of what you need to know. But it's not as good as a text book
A**R
Good reference for study at University
S**Y
i was preparing for FRM Level-1 and my MBA, i was really having lack of time with the thick books and my daily working schedules. Especially FRM is going very deep in dive and their materials also very lengthy. so for both MBA and FRM, this was a very good fit for me, to get fundamentals in depth and along with real world examples in a very fast paced, i was able to wind the read in a month
F**T
Acheté initialement pour remonter mon niveau en maths pour faire du 6 Sigma, c'est également très efficace si vous voulait faire du Big Data. Je le trouve beaucoup plus efficace que des livres français probas/statistiques plus volumineux. Plus qu'excellent rapport qualité prix.
T**Z
Not a fan. Paper inside the book was thinner than tracing paper.
C**N
Livre en excellent état.
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