標(biāo)題: Titlebook: Excel 2013 for Engineering Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2015 Springer International Publishing Switzerland 201 [打印本頁] 作者: chondrocyte 時間: 2025-3-21 16:59
書目名稱Excel 2013 for Engineering Statistics影響因子(影響力)
書目名稱Excel 2013 for Engineering Statistics影響因子(影響力)學(xué)科排名
書目名稱Excel 2013 for Engineering Statistics網(wǎng)絡(luò)公開度
書目名稱Excel 2013 for Engineering Statistics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Excel 2013 for Engineering Statistics被引頻次
書目名稱Excel 2013 for Engineering Statistics被引頻次學(xué)科排名
書目名稱Excel 2013 for Engineering Statistics年度引用
書目名稱Excel 2013 for Engineering Statistics年度引用學(xué)科排名
書目名稱Excel 2013 for Engineering Statistics讀者反饋
書目名稱Excel 2013 for Engineering Statistics讀者反饋學(xué)科排名
作者: 滲透 時間: 2025-3-21 22:46
Textbook 2015cel to statistical techniques necessary in their courses and work..Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand engineering problems.? Practice problems are provided at the end of each chapter with their solutions in an作者: carotid-bruit 時間: 2025-3-22 02:30 作者: Mingle 時間: 2025-3-22 08:21 作者: 駭人 時間: 2025-3-22 12:01 作者: Ornament 時間: 2025-3-22 14:53
Two-Group t-Test of the Difference of the Means for Independent Groups,tical example. 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 Appendix B along with its answer in Appendix C of this 作者: Ornament 時間: 2025-3-22 20:51
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: ventilate 時間: 2025-3-22 22:57
Multiple Correlation and Multiple Regression,o write the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables is 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作者: 單調(diào)女 時間: 2025-3-23 04:20 作者: Malcontent 時間: 2025-3-23 05:38
Analysis of Incompressible Flowsecific 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 Appendix A of this book. An additional pract作者: Eviction 時間: 2025-3-23 12:44
M. I. Friswell,J. E. Mottershead test, 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作者: 高深莫測 時間: 2025-3-23 16:31
https://doi.org/10.1007/978-0-85729-661-0 the 95?% confidence interval about the mean (Chap. .) 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作者: Expand 時間: 2025-3-23 18:13
https://doi.org/10.1007/978-3-319-03197-2tical example. 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 Appendix B along with its answer in Appendix C of this 作者: avulsion 時間: 2025-3-23 23:18 作者: 機制 時間: 2025-3-24 03:53
Complementary Variational Principles,o write the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables is 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作者: Counteract 時間: 2025-3-24 09:18
https://doi.org/10.1007/978-94-017-7761-2ups 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 engineering example i作者: CAGE 時間: 2025-3-24 11:08 作者: conservative 時間: 2025-3-24 17:11
2570-4605 s include a CD of Excel files. Instead, you’ll be shown how .This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively.? It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineer作者: 明確 時間: 2025-3-24 23:03 作者: cardiac-arrest 時間: 2025-3-25 01:13 作者: ZEST 時間: 2025-3-25 05:30 作者: mortuary 時間: 2025-3-25 08:35 作者: 召集 時間: 2025-3-25 14:43 作者: Indurate 時間: 2025-3-25 15:54
978-3-319-23554-7Springer International Publishing Switzerland 2015作者: 運動吧 時間: 2025-3-25 23:29 作者: 產(chǎn)生 時間: 2025-3-26 04:00 作者: seroma 時間: 2025-3-26 05:46 作者: 瘋狂 時間: 2025-3-26 12:17 作者: 極力證明 時間: 2025-3-26 15:23
https://doi.org/10.1007/978-0-85729-661-0. This test 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 you作者: 愛管閑事 時間: 2025-3-26 20:05
https://doi.org/10.1007/978-3-319-03197-2nd one measurement “number” on each of these. This chapter asks you to change gears and deal with the situation in which you are measuring two groups of instead of only one group. The nine steps for hypothesis-testing using the two-group t-test are presented, including the decision rule for either a作者: 排他 時間: 2025-3-26 21:39
Vibrations of Rigid-jointed Plane Frames,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: 慢跑 時間: 2025-3-27 01:21 作者: 樂器演奏者 時間: 2025-3-27 06:06
https://doi.org/10.1007/978-94-017-7761-2ation 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 to determine if this difference was a “signific作者: 難管 時間: 2025-3-27 12:51
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean,nd 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: Onerous 時間: 2025-3-27 14:04 作者: 殖民地 時間: 2025-3-27 20:58 作者: Lacunar-Stroke 時間: 2025-3-28 00:43 作者: integrated 時間: 2025-3-28 05:00 作者: addict 時間: 2025-3-28 07:01
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: 棲息地 時間: 2025-3-28 13:52
Multiple Correlation and Multiple Regression,model by using . to predict Y instead of a single predictor as we discussed in Chap. . 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 作者: BRACE 時間: 2025-3-28 18:16
