The coverage of an-alytical tools in statistics is enhanced with the use of calculus when discussion centers on rules and concepts in probability.
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Download Free PDF. A short summary of this paper. Download Download PDF. Translate PDF. Tanis Hope College Dale L. These efforts include the development, research, and testing of the theories and programs to determine their effectiveness. The author and publisher make no warranty of any kind, expressed or implied, with regard to these programs or the documentation contained in this book. Preview this title online. Request a copy.
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For a one- or two-semester course; calculus background presumed, no previous study of probability or statistics is required. Elliot A. Dale L. Hogg, Elliot A. Tanis, and Dale L. Procedure Boxes and Procedure Index.
To help students learn statistical procedures, easy-to-follow, step-by-step methods for carrying them out have been developed. Each step is highlighted and presented again within the illustrating example. This approach shows how the procedure is applied and helps students master its steps. A Procedure Index located near the front of the book provides a quick and easy way to find the right procedure for performing any statistical analysis.
WeissStats CD. This PC- and Mac-compatible CD, included with every new copy of the book, contains a wealth of resources. Its ReadMe file presents a complete contents list. The contents in brief are presented at the end of the text Contents. Introductory Statistics follows American Statistical Association ASA and Mathematical Association of America MAA guidelines, which stress the interpretation of statistical results, the contemporary applications of statistics, and the importance of critical thinking.
Populations, Variables, and Data. This strategy is essential for the proper understanding of statistics. Data Analysis and Exploration. Data analysis is emphasized, both for exploratory purposes and to check assumptions required for inference. Recognizing that not all readers have access to technology, the book provides ample opportunity to analyze and explore data without the use of a computer or statistical calculator.
Through a parallel presentation, the book offers complete flexibility in the coverage of the critical-value and P-value approaches to hypothesis testing.
Instructors can concentrate on either approach, or they can cover and compare both approaches. The dual procedures, which provide both the critical-value and P-value approaches to a hypothesis-testing method, are combined in a side-by-side, easy-to-use format.
This feature presents the meaning and significance of statistical results in everyday language and highlights the importance of interpreting answers and results. Interpretation You Try It! This feature, which follows most examples, allows students to immediately check their understanding by asking them to work a similar exercise.
This best-selling, comprehensive book clearly develops each statistical technique in an application setting. The integrated approach focuses on statistical methodology with an easy-to-follow presentation of a statistical procedure followed by a discussion of how to use Excel to perform the procedure. Step-by-step instructions and screen ensure understanding.
Business examples, proven methods, and application exercises demonstrate how statistical results provide insights into business decisions and help resolve business problems. A problem-scenario approach emphasizes how to apply statistical methods to practical business situations.
New case problems and self-tests let you check personal understanding and help you master both Excel skills and an understanding of business statistics. The book integrates Microsoft Excel , providing step-by-step instructions and screen captures to help readers master the latest Excel tools.
Extremely reader-friendly, this edition includes numerous tools to maximize the user's success, including Self-Test Exercises, margin annotations, insightful Notes and Comments, and real-world Methods and Applications exercises.
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