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Statistics : Informed Decisions Using Data by Michael Sullivan III (2/E)
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A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections.
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eBay item number:186460716300
Item specifics
- Condition
- Subject
- Probability & Statistics / General
- ISBN
- 9780131871496
- Subject Area
- Mathematics
- Publication Name
- Statistics : Informed Decisions Using Data
- Publisher
- Prentice Hall PTR
- Item Length
- 11 in
- Publication Year
- 2006
- Series
- Mystatlab Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.4 in
- Features
- Revised
- Item Weight
- 75.7 Oz
- Item Width
- 8.4 in
- Number of Pages
- 928 Pages
About this product
Product Identifiers
Publisher
Prentice Hall PTR
ISBN-10
0131871498
ISBN-13
9780131871496
eBay Product ID (ePID)
2309309097
Product Key Features
Number of Pages
928 Pages
Language
English
Publication Name
Statistics : Informed Decisions Using Data
Publication Year
2006
Subject
Probability & Statistics / General
Features
Revised
Type
Textbook
Subject Area
Mathematics
Series
Mystatlab Ser.
Format
Hardcover
Dimensions
Item Height
1.4 in
Item Weight
75.7 Oz
Item Length
11 in
Item Width
8.4 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2005-054963
Dewey Edition
22
Reviews
Mezbahur Rahman, Ph.D.: Minnesota State University: "Now-a-days it is difficult to have a distinct pedagogy. But I would say Sullivan is one of among the elites." Rita Kolb, Ph.D. Community College of Baltimore County ". . . the examples and exercises are excellent: relevant and interesting." "Sullivan is very readable. . . . He writes more like a statistics instructor, not a math instructor. [re: real world data] "Sullivan does very well in the use of real data." [re: examples] "Sullivan has a style of writing interesting to students and instructors; he finds examples and problems that are current and relevant. As an instructor that motivates me and in turn the students tend to be more motivated." Thomas S. Pomykalski, Madison Area Technical College [re: overall text] "Clear, concise, well written and supported by excellent examples." Virginia Parks, Ph.D., Georgia Perimeter College [re: overall text] "Sullivan has current, topical data and examplesstudents notice that." William Applebaugh, Ph.D., University of Wisconsin - Eau Claire [re: exercises] "We look for the exercises to graduate from simple to realistic. That is one of the qualities that we like best about Sullivan." ". . . it is as modern, if not more modern, in its approach as any other text on the market." Daniel C. Weiner, Ph.D., Boston University "Sullivan is ultra-organized; his treatment is honest - he has the integrity to offer students a truthful version of statistical reality (ideas, attitudes, calculations, abstract definitions as required) without attempting to dumb it down for them." Jada P. Hill, Richland College ". . . the Sullivan text has given my method of teaching statistics new meaning." "Now, my goals were to (1) ensure my students enjoyed the class while they were learning, (2) foster their desire to learning , and (3) reveal to my students that anyone can learn statistics given the right instructor and statistics text. All of my goals were met with the aid of the Sullivan text." Arjun Gupta, Ph.D., Bowling Green State University ". . . Exercises are one of the strengths of this book. Sullivan has lots of exercises and they are good." <P st, Mezbahur Rahman, Ph.D.: Minnesota State University: "Now-a-days it is difficult to have a distinct pedagogy. But I would say Sullivan is one of among the elites." Rita Kolb, Ph.D. Community College of Baltimore County ". . . the examples and exercises are excellent: relevant and interesting." "Sullivan is very readable. . . . He writes more like a statistics instructor, not a math instructor. [re: real world data] "Sullivan does very well in the use of real data." [re: examples] "Sullivan has a style of writing interesting to students and instructors; he finds examples and problems that are current and relevant. As an instructor that motivates me and in turn the students tend to be more motivated." Thomas S. Pomykalski, Madison Area Technical College [re: overall text] "Clear, concise, well written and supported by excellent examples." Virginia Parks, Ph.D., Georgia Perimeter College [re: overall text] "Sullivan has current, topical data and examples-students notice that." William Applebaugh, Ph.D., University of Wisconsin Eau Claire [re: exercises] "We look for the exercises to graduate from simple to realistic. That is one of the qualities that we like best about Sullivan." ". . . it is as modern, if not more modern, in its approach as any other text on the market." Daniel C. Weiner, Ph.D., Boston University "Sullivan is ultra-organized; his treatment is honest he has the integrity to offer students a truthful version of statistical reality (ideas, attitudes, calculations, abstract definitions as required) without attempting to dumb it down for them." Jada P. Hill, Richland College ". . . the Sullivan text has given my method of teaching statistics new meaning." "Now, my goals were to (1) ensure my students enjoyed the class while they were learning, (2) foster their desire to learning , and (3) reveal to my students that anyone can learn statistics given the right instructor and statistics text. All of my goals were met with the aid of the Sullivan text." Arjun Gupta , Ph.D., Bowling Green State University ". . . Exercises are one of the strengths of this book. Sullivan has lots of exercises and they are good." Susan Lenker, Ph.D., Central Michigan University [re: real world data] "Sullivan does a good job with this and is especially good at asking what the data means . . ." [re: exercises] "I look to see that the questions progress with levels of difficulty and understanding ending with problems that combine multiple concepts, are based on real problems and that are relevant to students and incorporate the use of available technology. Sullivan does very well in all these areas . . ." Carol Curtis, Fresno City College [re: overall assessment] "{Sullivan's} main strengths are its pedagogy, exercise sets, and abundant instructor resources." Said E. Said, Ph.D. East Carolina University "[Sullivan's] writing style & presentation make this textbook very enjoyable to read & easy to follow." "All I can say is that Sullivan is among one of my favorites." Kevin Bodden, Lewis & Clark Community College ". . . Sullivan will help my students be more successful. The writing style and some of the pedagogy seems to go further towards putting the students at ease and alleviating their fears." ". . . I think that Sullivan makes more of an effort to help students understand 'why' and to appreciate the usefulness of statistics in their everyday life." Jill Smith, University of Georgia at Athens "This is one of the best textbooks I've ever used as far as readability from the students' point of view."
Illustrated
Yes
Dewey Decimal
519.5
Edition Description
Revised edition
Table Of Content
Part I: Getting the Information You Need Chapter 1 Data Collection 1.1 Introduction to the Practice of Statistics 1. Define statistics 2. Understand the process of statistics 3. Distinguish between qualitative and quantitative variables 4. Distinguish between discrete and continuous variables 1.2 Observational Studies, Experiments, and Simple Random Sampling 1. Distinguish between an observational study and an experiment 2. Obtain a simple random sample 1.3 Other Effective Sampling Methods 1. Obtain a stratified sample 2. Obtain a systematic sample 3. Obtain a cluster sample 1.4 Sources of Error in Sampling 1. Understand how error can be introduced during sampling 1.5 The Design of Experiments 1. Define designed experiment 2. Understand the steps in designing an experiment 3. Understand the completely randomized design 4. Understand the randomized block design 5. Understand the matched-pairs design Chapter Review Case Study: Part II: Descriptive Statistics Chapter 2 Organizing and Summarizing Data from One Variable 2.1 Organizing Qualitative Data 1. Organize qualitative data in tables 2. Construct bar graphs 3. Construct pie charts 2.2 Organizing Quantitative Data The Popular Displays 1. Organize discrete data in tables 2. Construct histograms of discrete data 3. Organize continuous data in tables 4. Construct histograms of continuous data 5. Draw stem-and-leaf plots 6. Identify the shape of a distribution 2.3 Additional Displays of Quantitative Data 1. Construct frequency polygons 2. Create cumulative frequency and relative frequency tables 3. Construct frequency and relative frequency ogives 4. Draw time series graphs 2.4 Graphical Misrepresentations of Data 1. Describe what can make a graph misleading or deceptive Chapter Review Case Study Chapter 3 Numerically Describing Data from One Variable 3.1 Measures of Central Tendency 1. Determine the arithmetic mean of a variable from raw data 2. Determine the median of a variable from raw data 3. Determine the mode of the variable from raw data 4. Use the mean and the median to help identify the shape of a distribution 3.2 Measures of Dispersion 1. Compute the range of a variable from raw data 2. Compute the variance of a variable from raw data 3. Compute the standard deviation of a variable from raw data 4. Use the Empirical Rule to describe data that are bell-shaped 5. Use Chebyshevs inequality to describe any set of data 3.3 Measures of Central Tendency and Dispersion from Grouped Data 1. Approximate the mean of a variable from grouped data 2. Compute the weighted mean 3. Approximate the standard deviation of a variable from grouped data 3.4 Measures of Position 1. Determine and interpret z-scores 2. Determine and interpret percentiles 3. Determine and interpret quartiles 4. Check a set of data for outliers 3.5 The Five-Number Summary and Boxplots 1. Compute the five-number summary 2. Draw and interpret boxplots Chapter Review Case Study Chapter 4 Describing the Relation between Two Variables 4.1 Scatter Diagrams and Correlation 1. Draw scatter diagrams 2. Interpret scatter diagrams 3. Understand the properties of the linear correlation coefficient 4. Compute and interpret the linear correlation coefficient 4.2 Least-Squares Regression 1. Find the least-squares regression line 2. Interpret the slope and y-intercept of the least-squares regression line <P
Synopsis
A textbook covering algebra-based introductory statistics which contains various exercises and examples to reinforce key concepts and techniques., 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 text: (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. Datasets and other resources (where applicable) for this book are available here.
LC Classification Number
QA276.12.S85 2006
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