標(biāo)題: Titlebook: Excel 2016 for Physical Sciences Statistics; A Guide to Solving P Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton Textbook 20161st edition [打印本頁] 作者: Lincoln 時間: 2025-3-21 17:23
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書目名稱Excel 2016 for Physical Sciences Statistics網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Excel 2016 for Physical Sciences Statistics被引頻次學(xué)科排名
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書目名稱Excel 2016 for Physical Sciences Statistics年度引用學(xué)科排名
書目名稱Excel 2016 for Physical Sciences Statistics讀者反饋
書目名稱Excel 2016 for Physical Sciences Statistics讀者反饋學(xué)科排名
作者: conifer 時間: 2025-3-22 00:01
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean,ecific 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: 鄙視 時間: 2025-3-22 02:37 作者: acolyte 時間: 2025-3-22 08:12
One-Group t-Test for the Mean, 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 Pra作者: 閑聊 時間: 2025-3-22 12:39 作者: 騎師 時間: 2025-3-22 16:42
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: 騎師 時間: 2025-3-22 19:37
Multiple Correlation and Multiple Regression, 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 betwee作者: Vaginismus 時間: 2025-3-22 21:43
One-Way Analysis of Variance (ANOVA),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 science example is used deli作者: 宇宙你 時間: 2025-3-23 04:36 作者: Esalate 時間: 2025-3-23 06:58 作者: 尖牙 時間: 2025-3-23 12:40
https://doi.org/10.1007/978-1-349-81729-0 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 Pra作者: BUMP 時間: 2025-3-23 15:47
Pattern Theory: A Unifying Perspectivetical 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: candle 時間: 2025-3-23 21:11
Martingales, Arbitrage, and Portfolio Choiceth 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: Microgram 時間: 2025-3-24 00:29 作者: 閑聊 時間: 2025-3-24 05:30
Neuroleptanalgesia in Ophthalmic Surgerysee 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 science example is used deli作者: subordinate 時間: 2025-3-24 08:02 作者: FLAT 時間: 2025-3-24 14:28
Textbook 20161st edition013 for Physical Sciences Statistics., this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isn’t the reader’s strongest suit, the reader is not mathematically inclined, or 作者: 極大的痛苦 時間: 2025-3-24 17:18
2570-4605 ems using Excel. In addition, three practice problems at the.This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published .Excel 2013 for Physical Sciences Statistics., this book is a step-by-step exercise-driven guide f作者: 凝乳 時間: 2025-3-24 22:36
The Labyrinth Theme in Science Fictionter 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 book.作者: Ledger 時間: 2025-3-25 02:00 作者: WAG 時間: 2025-3-25 04:37
https://doi.org/10.1007/978-3-319-40075-4Excel 2016; Excel for Physical Science; Excel Guide; Statistics for Physical Science; Applied Physical S作者: 單調(diào)女 時間: 2025-3-25 10:12
Thomas J. Quirk,Meghan H. Quirk,Howard F. Hortonjectives for each concept so you know the purpose of the Excel steps.Each chapter presents key steps needed to solve practical science problems using Excel. In addition, three practice problems at the作者: lattice 時間: 2025-3-25 13:28 作者: 現(xiàn)代 時間: 2025-3-25 19:06 作者: 十字架 時間: 2025-3-25 20:18 作者: sundowning 時間: 2025-3-26 01:35
https://doi.org/10.1007/978-3-322-82725-8nd 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: Chronological 時間: 2025-3-26 06:05
The Labyrinth Theme in Science Fictionfrom 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: Genteel 時間: 2025-3-26 12:30
https://doi.org/10.1007/978-3-031-50931-5 confidence 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 c作者: Ophthalmoscope 時間: 2025-3-26 15:23
https://doi.org/10.1007/978-1-349-81729-0is 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 your ca作者: rectocele 時間: 2025-3-26 18:41
Pattern Theory: A Unifying Perspectivend 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: 禮節(jié) 時間: 2025-3-27 01:02 作者: SUGAR 時間: 2025-3-27 02:19 作者: Conjuction 時間: 2025-3-27 06:26
Neuroleptanalgesia in Ophthalmic Surgeryation 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 to determine if this difference was a “significant作者: diskitis 時間: 2025-3-27 11:35 作者: 舊病復(fù)發(fā) 時間: 2025-3-27 17:29
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: Affectation 時間: 2025-3-27 20:50 作者: 事與愿違 時間: 2025-3-27 23:55
One-Group t-Test for the Mean,is 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 your ca作者: hieroglyphic 時間: 2025-3-28 03:08
Two-Group t-Test of the Difference of the Means for Independent Groups,nd 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: Excitotoxin 時間: 2025-3-28 07:02 作者: 錯 時間: 2025-3-28 12:32
Multiple Correlation and Multiple Regression,l 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 weighted differently in an equation, to predict Y. The job of multiple correlation is to
