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Titlebook: Excel 2019 in Applied Statistics for High School Students; A Guide to Solving P Thomas J. Quirk Textbook 2021Latest edition The Editor(s) (

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書目名稱Excel 2019 in Applied Statistics for High School Students
副標(biāo)題A Guide to Solving P
編輯Thomas J. Quirk
視頻videohttp://file.papertrans.cn/319/318293/318293.mp4
概述Presents practical examples of problems taken from a diverse array of statistical fields.Addresses both how to write statistical formulas and how to use drop-down menus to create formulas in Excel.Inc
叢書名稱Excel for Statistics
圖書封面Titlebook: Excel 2019 in Applied Statistics for High School Students; A Guide to Solving P Thomas J. Quirk Textbook 2021Latest edition The Editor(s) (
描述.This textbook is a step-by-step guide for high school, communitycollege, and undergraduate students who are taking a course in appliedstatistics and wish to learn how to use Excel to solve statisticalproblems. All of the statistics problems in this book come from thefollowing fields of study: business, education, psychology, marketing,engineering and advertising. Students will learn how to perform keystatistical tests in Excel without being overwhelmed by statisticaltheory. .Each chapter briefly explains a topic and then demonstrateshow to use Excel commands and formulas to solve specific statisticsproblems. The book offers guidance in using Excel in two differentways: (1) writing formulas (e.g., confidence interval about the mean,one-group t-test, two-group t-test, correlation) and (2) using Excel’sdrop-down formula menus (e.g., simple linear regression, multiplecorrelations and multiple regression, and one-way ANOVA). Threepractice problems are provided at the end of each chapter, along withtheir solutions in an appendix. An additional practice test allowsreaders to test their understanding of each chapter by attempting tosolve a specific statistics problem using Excel; the solu
出版日期Textbook 2021Latest edition
關(guān)鍵詞Excel 2019; Advanced Placement Statistics Exams; AP Statistics Exams; High School Students; TINV Functio
版次2
doihttps://doi.org/10.1007/978-3-030-66756-6
isbn_softcover978-3-030-66755-9
isbn_ebook978-3-030-66756-6Series ISSN 2570-4605 Series E-ISSN 2570-4613
issn_series 2570-4605
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Two-Group t-Test of the Difference of the Means for Independent Groups, and one measurement “number” on each of these people. This chapter asks you to change gears and deal with the situation in which you are measuring two groups of people instead of only one group of people. The nine steps for hypothesis testing using the two-group t-test are presented, including the
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Correlation and Simple Linear Regression,research study and only one measurement (i.e., variable) “number” on each of these people. This chapter asks you to change gears again and to deal with the situation in which you are measuring two variables instead of only one variable and you are trying to discover the “relationship” between these
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One-Way Analysis of Variance (ANOVA),ation mean for the data using either the 95% confidence interval about the mean (Chap. . of this book) or the one-group t-test of the mean (Chap. . of this book). You have also learned how to test for the difference between the means for two groups of people to determine if this difference was a “si
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