Statistics is a thought process. In this comprehensive introduction to statistical methods and data analysis, the process is presented utilizing a four-step approach: 1) gathering data, 2) summarizing data, 3) analyzing data, and 4) communicating the results of data analyses.
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Book Description
Editorial Reviews
About the Author
Dr. Ott is the Senior Vice President at Global Development Management Hoechst Marion Roussel.
--This text refers to an alternate
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Most Helpful Customer Reviews
30 of 31 people found the following review helpful:
5.0 out of 5 stars
*Excellent* stats book for behavioral researchers,
By
This review is from: An Introduction to Statistical Methods and Data Analysis (Hardcover)
We used this as our primary textbook in a graduate psychology / consumer behavior research methods / data analyis class, and I found it to be an invaluable aid in statistical analysis. From simple measures such as z-scores, t-tests & f-tests, and chi-squares, to more in depth methods such as GLM, ANOVA, and regression, this book is clear and concise. While it can be slightly cursory at times as to the theoretical underpinnings underneath the data analysis methods being used, it is a very helpful book in understanding how to actually make the methods work, and more importantly, knowing which method to apply in which situation.Untill Prof. Lattin releases his statistical analysis book for behavioral students, Ott's book is the #1 stat resource on my bookshelf.
8 of 8 people found the following review helpful:
3.0 out of 5 stars
very good book, but typos are annoying,
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This review is from: An Introduction to Statistical Methods and Data Analysis (Hardcover)
the book is very good on application, no proofs, which is fine since the book doesn't try to be all things, BUT i am a bit disappointed at the number of typos for a book in its 5th ed. i'm just finishing the 4th chapter (skipping ch 1 & 2, so basically i've only read 2 chapters so far) for a class and have found the number of typos in the exercises to be quite annoying (especially for a text in its 5th edition!).
the text exercises make heavy use of prior exercise such as 4.xxx says see the prior exercises and that exercise says see another exercise ... is tolerable, but when in the course of chaining exercises one exercise references an exercise in error you start scratching your head and quickly become annoyed. also, the students solution manual, which has been very helpful, is sometimes provides the different graph than requested in the text. eg. the text ask you to create a histogram and the solutions manual uses a normal probability graph. this isn't too big a deal, but it leaves you with the impression that changes were made to say the text exercises, but not updated in the solutions manual. again, a good book, especially for those with minimal math background, but for the cost of the text and being in its 5th ed, the number of typos is a bit annoying.
1 of 1 people found the following review helpful:
2.0 out of 5 stars
Just okay.,
This review is from: An Introduction to Statistical Methods and Data Analysis (Kindle Edition)
This stats book was helpful in some chapters, but very confusing in others. I am a straight-A student & had to turn to other internet-based resources to supplement the information in this book. Even my professor decided he was going to ditch this book next year after using it in his class for only 2 semesters.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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corrected total, crossover designs, multiple comparisons, nonparametric alternative, checking model assumptions, one covariate, several proportions, two population proportions, plant growth, linear contrasts, statistical hypotheses, regression parameters, bootstrap methods, percent calories, bootstrap sample, standardized variable, nested factors, oil spill plots, extrapolation penalty, equal sign measures, factorial treatment structure, obtaining expected mean squares, website data sets, average hay production, konjac blend Key Phrases - Capitalized Phrases (CAPs): (learn more)
Research Study, Mean Square, Dependent Variable, Squares Square, Analysis of Variance Source, Residual Error, Adj R-sq, Regression Analysis, Predictor Coef, United States, Further Regression Topics, Data Description, Single Variable, Describing Data, Mixed-effects Models, Sum of Mean Source, Empirical Rule, Fit Residual St Resid, Population Central Values, Population Variances, Categorical Data, Estimate Error, Value Prob, Sum Wgts, Sum of Source Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
corrected total, crossover designs, multiple comparisons, nonparametric alternative, checking model assumptions, one covariate, several proportions, two population proportions, plant growth, linear contrasts, statistical hypotheses, regression parameters, bootstrap methods, percent calories, bootstrap sample, standardized variable, nested factors, oil spill plots, extrapolation penalty, equal sign measures, factorial treatment structure, obtaining expected mean squares, website data sets, average hay production, konjac blend Key Phrases - Capitalized Phrases (CAPs): (learn more)
Research Study, Mean Square, Dependent Variable, Squares Square, Analysis of Variance Source, Residual Error, Adj R-sq, Regression Analysis, Predictor Coef, United States, Further Regression Topics, Data Description, Single Variable, Describing Data, Mixed-effects Models, Sum of Mean Source, Empirical Rule, Fit Residual St Resid, Population Central Values, Population Variances, Categorical Data, Estimate Error, Value Prob, Sum Wgts, Sum of Source Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Citations (learn more)
51
books
cite this book:
See all 51 books citing this book
- Comparative Analysis of Nations: Quantitative Approaches by Robert Perry on 5 pages
- Multiple Comparisons and Multiple Tests Using the SAS System by Peter Westfall on page 42, and Back Matter
- Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment (Wiley Series in Probability and Statistics) by Peter H. Westfall on page 80, and Back Matter
- Spectrochemical Analysis Using Infrared Multichannel Detectors (Sheffield Analytical Chemistry Series) by Rohit Bhargava on page 114
- Sales Forecasting Management: A Demand Management Approach by John T. (Thomas) Mentzer in Back Matter
See all 51 books citing this book
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