標(biāo)題: Titlebook: Excel 2013 for Business Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2015 Springer International Publishing Switzerland 2015 A [打印本頁] 作者: ARGOT 時(shí)間: 2025-3-21 19:09
書目名稱Excel 2013 for Business Statistics影響因子(影響力)
書目名稱Excel 2013 for Business Statistics影響因子(影響力)學(xué)科排名
書目名稱Excel 2013 for Business Statistics網(wǎng)絡(luò)公開度
書目名稱Excel 2013 for Business Statistics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Excel 2013 for Business Statistics被引頻次
書目名稱Excel 2013 for Business Statistics被引頻次學(xué)科排名
書目名稱Excel 2013 for Business Statistics年度引用
書目名稱Excel 2013 for Business Statistics年度引用學(xué)科排名
書目名稱Excel 2013 for Business Statistics讀者反饋
書目名稱Excel 2013 for Business Statistics讀者反饋學(xué)科排名
作者: 言行自由 時(shí)間: 2025-3-21 20:58
Random Number Generator,from which you want to take a random sample. You will learn how to use Excel to create frame numbers for generating random numbers, why a set of duplicate frame numbers is important, and the Excel commands needed to sort the frame numbers into a random sequence. In addition, you will learn how to pr作者: amphibian 時(shí)間: 2025-3-22 00:30 作者: 看法等 時(shí)間: 2025-3-22 05:44 作者: Flu表流動(dòng) 時(shí)間: 2025-3-22 10:34
Correlation and Simple Linear Regression,search study and only one measurement (i.e., variable) “number” on each of these. 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 variable作者: 修正案 時(shí)間: 2025-3-22 14:55
Multiple Correlation and Multiple Regression,el by using . to predict Y instead of a single predictor as we discussed in Chapter . of this book. The resulting statistical procedure is called “multiple correlation” because it uses two or more predictors, each weighed differently in an equation, to predict Y. The job of multiple correlation is t作者: 修正案 時(shí)間: 2025-3-22 19:45
One-Way Analysis of Variance (ANOVA),ation mean for the data using either the 95% confidence interval about the mean (Chapter . of this book) or the one-group t-test of the mean (Chapter . of this book). You have also learned how to test for the difference between the means for two groups of to determine if this difference was a “signi作者: Psychogenic 時(shí)間: 2025-3-23 00:18
Proposals for Further Improvements,ter to test your Excel skills, and the answers to these problems appear in . of this book. An additional practice problem is presented in the Practice Test given in . along with its answer in . of this book.作者: Aggregate 時(shí)間: 2025-3-23 03:56
Random Number Generator,ter to test your Excel skills, and the answers to these problems appear in . of this book. An additional practice problem is presented in the Practice Test given in . along with its answer in . of this book.作者: 教育學(xué) 時(shí)間: 2025-3-23 08:31 作者: 跑過 時(shí)間: 2025-3-23 13:14
2570-4605 tep of the way, not only how to use Excel, but also why you .This is the first book to show the capabilities of Microsoft Excel to teach business statistics effectively.?It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business pro作者: 修飾語 時(shí)間: 2025-3-23 13:57
Institut für Baustatik und Konstruktionecific number of decimal places, how to save an Excel worksheet into your computer, and how to print out an Excel worksheet. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in . of this book. An additional practice probl作者: Arbitrary 時(shí)間: 2025-3-23 18:49
Lazarus Teneketzis Tenek,John Argyris, and you will be given specific explanations of how to write both the result and the conclusion of a hypothesis test. Alternative ways to summarize the result of a hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your Excel skills, and the answ作者: ingrate 時(shí)間: 2025-3-23 22:45 作者: CAND 時(shí)間: 2025-3-24 03:43 作者: 無動(dòng)于衷 時(shí)間: 2025-3-24 08:43
Introduction to Finite Elements,ite the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables are explained so that you can create a “correlation matrix” for your data set. You will learn how to read this correlation matrix to determine the correlation be作者: 笨重 時(shí)間: 2025-3-24 14:38
General Theory of Thin Elastic Shells,oups to see if they are “significantly different from each other.” If this overall ANOVA test is produces a significant result, you will learn how to test the hypotheses comparing any two groups using an ANOVA t-test formula. This formula is presented, explained, and a practical business example is 作者: enmesh 時(shí)間: 2025-3-24 16:20 作者: disparage 時(shí)間: 2025-3-24 22:22
2570-4605 rmulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems.Practice problems are provided at the end of each chapter with their solutions in an Appendix.Separate978-3-319-11981-6978-3-319-11982-3Series ISSN 2570-4605 Series E-ISSN 2570-4613 作者: 草率男 時(shí)間: 2025-3-24 23:15
Two-Group t-Test of the Difference of the Means for Independent Groups,作者: 跳脫衣舞的人 時(shí)間: 2025-3-25 03:42 作者: Harass 時(shí)間: 2025-3-25 10:47
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing,, and you will be given specific explanations of how to write both the result and the conclusion of a hypothesis test. Alternative ways to summarize the result of a hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your Excel skills, and the answ作者: 閑逛 時(shí)間: 2025-3-25 12:20
One-Group t-Test for the Mean,ce interval about the mean (.) and the one-group t-test is explained. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional practice problem is presented in the Practice Test given in 作者: WAIL 時(shí)間: 2025-3-25 17:02
Correlation and Simple Linear Regression,th the Excel steps needed to create a chart summarizing the relationship between the two variables. You will learn how to use Excel to draw the “best-fit line” through the data points on a scatterplot and how to determine the equation for this line so that you can use this equation to predict one va作者: 發(fā)展 時(shí)間: 2025-3-25 20:22
Multiple Correlation and Multiple Regression,ite the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables are explained so that you can create a “correlation matrix” for your data set. You will learn how to read this correlation matrix to determine the correlation be作者: 使虛弱 時(shí)間: 2025-3-26 04:05
One-Way Analysis of Variance (ANOVA),oups to see if they are “significantly different from each other.” If this overall ANOVA test is produces a significant result, you will learn how to test the hypotheses comparing any two groups using an ANOVA t-test formula. This formula is presented, explained, and a practical business example is 作者: 發(fā)源 時(shí)間: 2025-3-26 04:38
Institut für Baustatik und Konstruktionnd the standard error of the mean (s.e.) of these scores. All three of these statistics are basic to the study of statistics and are used frequently within many additional statistical tests. The formulas are presented, explained, and a practical example is given for each formula that shows how the f作者: acolyte 時(shí)間: 2025-3-26 09:31
Proposals for Further Improvements,from which you want to take a random sample. You will learn how to use Excel to create frame numbers for generating random numbers, why a set of duplicate frame numbers is important, and the Excel commands needed to sort the frame numbers into a random sequence. In addition, you will learn how to pr作者: 我怕被刺穿 時(shí)間: 2025-3-26 15:25 作者: 責(zé)怪 時(shí)間: 2025-3-26 19:58
Governing Differential Equations,compares the mean of your data set against the hypothesized population mean for your data to determine if the difference between these two values is “l(fā)arge enough” to be considered a “significant difference.” The formula is presented, explained, and a practical example is given using your calculator作者: 易碎 時(shí)間: 2025-3-27 00:34 作者: 的染料 時(shí)間: 2025-3-27 02:07
Introduction to Finite Elements,el by using . to predict Y instead of a single predictor as we discussed in Chapter . of this book. The resulting statistical procedure is called “multiple correlation” because it uses two or more predictors, each weighed differently in an equation, to predict Y. The job of multiple correlation is t作者: 雪上輕舟飛過 時(shí)間: 2025-3-27 08:17 作者: 獨(dú)裁政府 時(shí)間: 2025-3-27 09:42
https://doi.org/10.1007/978-3-319-11982-3ANOVA; applied business statistics; business statistics; excel 2013 business statistics; excel 2013 text作者: 有花 時(shí)間: 2025-3-27 13:54
978-3-319-11981-6Springer International Publishing Switzerland 2015作者: larder 時(shí)間: 2025-3-27 21:25 作者: 噴出 時(shí)間: 2025-3-28 00:22 作者: 過時(shí) 時(shí)間: 2025-3-28 02:47 作者: Latency 時(shí)間: 2025-3-28 08:09
Wenbin Zeng,Guixiang Shen,Ilia Frenkel,Igor Bolvashenkov,J?rg Kammermann,Hans-Georg Herzog,Lev Khvate fundamental right to a fair trial. In the integrated legal order of the European Union, it is essential that litigants can rely on a judgment no matter where in the EU it was delivered. Effective mechanisms for cross-border recognition and the enforcement of judgments provide both debtors and cred作者: Carbon-Monoxide 時(shí)間: 2025-3-28 12:01
