標(biāo)題: Titlebook: Excel 2019 for Engineering Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2020Latest edition The Editor(s) (if applicable) and T [打印本頁] 作者: ARSON 時(shí)間: 2025-3-21 16:10
書目名稱Excel 2019 for Engineering Statistics影響因子(影響力)
書目名稱Excel 2019 for Engineering Statistics影響因子(影響力)學(xué)科排名
書目名稱Excel 2019 for Engineering Statistics網(wǎng)絡(luò)公開度
書目名稱Excel 2019 for Engineering Statistics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Excel 2019 for Engineering Statistics被引頻次
書目名稱Excel 2019 for Engineering Statistics被引頻次學(xué)科排名
書目名稱Excel 2019 for Engineering Statistics年度引用
書目名稱Excel 2019 for Engineering Statistics年度引用學(xué)科排名
書目名稱Excel 2019 for Engineering Statistics讀者反饋
書目名稱Excel 2019 for Engineering Statistics讀者反饋學(xué)科排名
作者: Protein 時(shí)間: 2025-3-21 21:46 作者: 野蠻 時(shí)間: 2025-3-22 04:12
Lis Olesen Larsen,Sylvie Dufournd 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: Sarcoma 時(shí)間: 2025-3-22 07:54 作者: 可商量 時(shí)間: 2025-3-22 11:49
Field Studies of Energy Budgetsconfidence interval. You will learn how to estimate the population mean (average) for a group of events or objects at a 95% confidence level so that you are 95% confident that the population mean is between a lower limit of the data and an upper limit of the data. The formula for computing this conf作者: Servile 時(shí)間: 2025-3-22 16:40 作者: Servile 時(shí)間: 2025-3-22 17:10 作者: Hemiplegia 時(shí)間: 2025-3-23 00:52 作者: Genome 時(shí)間: 2025-3-23 04:57
Gastro-Intestinal Peptides in Fish,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: GLIB 時(shí)間: 2025-3-23 09:23 作者: insightful 時(shí)間: 2025-3-23 13:33
978-3-030-39277-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: dry-eye 時(shí)間: 2025-3-23 16:40
Excel 2019 for Engineering Statistics978-3-030-39278-9Series ISSN 2570-4605 Series E-ISSN 2570-4613 作者: 冰雹 時(shí)間: 2025-3-23 18:55 作者: 冥想后 時(shí)間: 2025-3-24 01:05
2570-4605 hat should be happening on the reader‘s computer monitor, enNewly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching engineering statistics effectively. Similar to the previously published?.Excel 2016 for Engineering Statistics., this volume i作者: Little 時(shí)間: 2025-3-24 03:20 作者: DAMP 時(shí)間: 2025-3-24 06:30 作者: Pepsin 時(shí)間: 2025-3-24 12:46
Textbook 2020Latest editionSimilar to the previously published?.Excel 2016 for Engineering Statistics., this volume is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems..Excel, a widely available computer program for students and professionals作者: HERE 時(shí)間: 2025-3-24 16:05
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: Atrium 時(shí)間: 2025-3-24 19:25 作者: 混亂生活 時(shí)間: 2025-3-25 00:59 作者: 鞭子 時(shí)間: 2025-3-25 06:50
One-Group t-Test for the Mean,. 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: 他日關(guān)稅重重 時(shí)間: 2025-3-25 07:47 作者: badinage 時(shí)間: 2025-3-25 12:50
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: Cytology 時(shí)間: 2025-3-25 18:30
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: HAIL 時(shí)間: 2025-3-25 21:43
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 to determine if this difference was a “significa作者: vasculitis 時(shí)間: 2025-3-26 01:46 作者: conduct 時(shí)間: 2025-3-26 08:20
Field Studies of Energy Budgets, 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: 放縱 時(shí)間: 2025-3-26 12:24 作者: COMMA 時(shí)間: 2025-3-26 16:23
Events Associated with Fertilization,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: entice 時(shí)間: 2025-3-26 19:30 作者: 變白 時(shí)間: 2025-3-26 23:34
Gastro-Intestinal Peptides in Fish,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: 排他 時(shí)間: 2025-3-27 01:49 作者: MIRE 時(shí)間: 2025-3-27 08:30 作者: Countermand 時(shí)間: 2025-3-27 13:27 作者: Parabola 時(shí)間: 2025-3-27 15:24
One-Group t-Test for the Mean, 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: 武器 時(shí)間: 2025-3-27 20:30 作者: headlong 時(shí)間: 2025-3-28 00:17 作者: vanquish 時(shí)間: 2025-3-28 02:39 作者: senile-dementia 時(shí)間: 2025-3-28 10:15
One-Way Analysis of Variance (ANOVA),s 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 is 作者: 慢跑鞋 時(shí)間: 2025-3-28 11:27 作者: xanthelasma 時(shí)間: 2025-3-28 15:23
2570-4605 Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have 978-3-030-39277-2978-3-030-39278-9Series ISSN 2570-4605 Series E-ISSN 2570-4613
