大葉大學圖書館 |

Applied statistical inference with MINITAB[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.5/40285
書名/作者:	Applied statistical inference with MINITAB/ Sally A. Lesik.
作者:	Lesik, Sally A.
出版者:	Boca Raton : : CRC Press,, c2010.
面頁冊數:	1 online resource (xvii, 446 p.) : : ill.
附註:	"A Chapman & Hall book."
標題:	Mathematical statistics - Data processing.
ISBN:	9781420065848 (electronic bk.)
ISBN:	142006584X (electronic bk.)
書目註:	Includes bibliographical references and index.
內容註:	1. Introduction -- 2. Graphing Variables -- 3. Descriptive Representations of Data and Random Variables -- 4. Basic Statistical Inference -- 5. Simple Linear Regression -- 6. More on Simple Linear Regression -- 7. Multiple Regression Analysis -- 8. More on Multiple Regression -- 9. Analysis of Variance (ANOVA) -- 10. Other Topics.
摘要、提要註:	"Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB provides a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power analysis." "After introducing some common terminology, the author explains how to create simple graphs using MINITAB and how to calculate descriptive statistics using both traditional hand computations and MINITAB. She then delves into statistical inference topics, such as confidence intervals and hypothesis testing, as well as linear regression, including the Ryan-Joiner test. Moving on to multiple regression analysis, the text addresses ANOVA, the issue of multicollinearity, assessing outliers, and more. It also provides a conceptual introduction to basic experimental design and one-way ANOVA. The final chapter discusses two-way ANOVA, nonparametric analyses, and time series analysis." "Taking a practical approach to statistics, this text shows how to implement basic inferential techniques in practice using MINITAB. It establishes the foundation for readers to build on work in more advanced inferential statistics."--Jacket.
電子資源:	http://www.crcnetbase.com/doi/book/10.1201/b15846

Applied statistical inference with MINITAB[electronic resource] /
Lesik, Sally A.

Applied statistical inference with MINITAB[electronic resource] /Sally A. Lesik. - Boca Raton :CRC Press,c2010. - 1 online resource (xvii, 446 p.) :ill. - Statistics : textbooks and monographs. - Statistics, textbooks and monographs..

"A Chapman & Hall book."

Includes bibliographical references and index.

1. Introduction -- 2. Graphing Variables -- 3. Descriptive Representations of Data and Random Variables -- 4. Basic Statistical Inference -- 5. Simple Linear Regression -- 6. More on Simple Linear Regression -- 7. Multiple Regression Analysis -- 8. More on Multiple Regression -- 9. Analysis of Variance (ANOVA) -- 10. Other Topics.

"Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB provides a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power analysis." "After introducing some common terminology, the author explains how to create simple graphs using MINITAB and how to calculate descriptive statistics using both traditional hand computations and MINITAB. She then delves into statistical inference topics, such as confidence intervals and hypothesis testing, as well as linear regression, including the Ryan-Joiner test. Moving on to multiple regression analysis, the text addresses ANOVA, the issue of multicollinearity, assessing outliers, and more. It also provides a conceptual introduction to basic experimental design and one-way ANOVA. The final chapter discusses two-way ANOVA, nonparametric analyses, and time series analysis." "Taking a practical approach to statistics, this text shows how to implement basic inferential techniques in practice using MINITAB. It establishes the foundation for readers to build on work in more advanced inferential statistics."--Jacket.

ISBN: 9781420065848 (electronic bk.)Subjects--Uniform Titles:

Minitab.
Subjects--Topical Terms:

465468
Mathematical statistics
--Data processing.

LC Class. No.: QA276.3 / .L47 2010

Dewey Class. No.: 519.5/40285

Applied statistical inference with MINITAB[electronic resource] /
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245 1 0 $a Applied statistical inference with MINITAB $h [electronic resource] / $c Sally A. Lesik.
260 $a Boca Raton : $b CRC Press, $c c2010.
300 $a 1 online resource (xvii, 446 p.) : $b ill.
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500 $a "A Chapman & Hall book."
504 $a Includes bibliographical references and index.
505 0 $a 1. Introduction -- 2. Graphing Variables -- 3. Descriptive Representations of Data and Random Variables -- 4. Basic Statistical Inference -- 5. Simple Linear Regression -- 6. More on Simple Linear Regression -- 7. Multiple Regression Analysis -- 8. More on Multiple Regression -- 9. Analysis of Variance (ANOVA) -- 10. Other Topics.
520 1 $a "Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB provides a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power analysis." "After introducing some common terminology, the author explains how to create simple graphs using MINITAB and how to calculate descriptive statistics using both traditional hand computations and MINITAB. She then delves into statistical inference topics, such as confidence intervals and hypothesis testing, as well as linear regression, including the Ryan-Joiner test. Moving on to multiple regression analysis, the text addresses ANOVA, the issue of multicollinearity, assessing outliers, and more. It also provides a conceptual introduction to basic experimental design and one-way ANOVA. The final chapter discusses two-way ANOVA, nonparametric analyses, and time series analysis." "Taking a practical approach to statistics, this text shows how to implement basic inferential techniques in practice using MINITAB. It establishes the foundation for readers to build on work in more advanced inferential statistics."--Jacket.
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650 0 $a Mathematical statistics $x Data processing. $3 465468
830 0 $a Statistics, textbooks and monographs. $3 488049
856 4 0 $u http://www.crcnetbase.com/doi/book/10.1201/b15846