標(biāo)題: Titlebook: Excel 2019 for Educational and Psychological Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2020Latest edition The Editor(s) (if [打印本頁] 作者: CLAST 時(shí)間: 2025-3-21 19:32
書目名稱Excel 2019 for Educational and Psychological Statistics影響因子(影響力)
書目名稱Excel 2019 for Educational and Psychological Statistics影響因子(影響力)學(xué)科排名
書目名稱Excel 2019 for Educational and Psychological Statistics網(wǎng)絡(luò)公開度
書目名稱Excel 2019 for Educational and Psychological Statistics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Excel 2019 for Educational and Psychological Statistics被引頻次
書目名稱Excel 2019 for Educational and Psychological Statistics被引頻次學(xué)科排名
書目名稱Excel 2019 for Educational and Psychological Statistics年度引用
書目名稱Excel 2019 for Educational and Psychological Statistics年度引用學(xué)科排名
書目名稱Excel 2019 for Educational and Psychological Statistics讀者反饋
書目名稱Excel 2019 for Educational and Psychological Statistics讀者反饋學(xué)科排名
作者: overreach 時(shí)間: 2025-3-21 23:22
Random Number Generator,ts) 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 duplicate frame numbers into a random sequence. In addition, you will l作者: Filibuster 時(shí)間: 2025-3-22 04:02
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing,confidence interval. You will learn how to estimate the population mean (average) for a group of people (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 co作者: Exterior 時(shí)間: 2025-3-22 08:31 作者: Immobilize 時(shí)間: 2025-3-22 10:47 作者: 古老 時(shí)間: 2025-3-22 14:58 作者: 古老 時(shí)間: 2025-3-22 19:10 作者: 違反 時(shí)間: 2025-3-23 01:13
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作者: 爆米花 時(shí)間: 2025-3-23 05:26
European Tax Consultants Congress Staffnd 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 for each chapter is presented in the Practice Test given in Appendix B along with the answers in Appendix C of this book.作者: expire 時(shí)間: 2025-3-23 07:36 作者: Trabeculoplasty 時(shí)間: 2025-3-23 10:13
Textbook 2020Latest editiontics effectively. Similar to the previously published?.Excel 2016 for Educational and Psychological Statistics., it is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical education and psychology problems..Excel, a widely available compute作者: chance 時(shí)間: 2025-3-23 17:50
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 educational and psychological statistics effectively. Similar to the previously published?.Excel 2016 for Educational and Psyc作者: plasma-cells 時(shí)間: 2025-3-23 18:58 作者: ANTH 時(shí)間: 2025-3-24 00:23 作者: 全神貫注于 時(shí)間: 2025-3-24 04:17 作者: coalition 時(shí)間: 2025-3-24 06:33
One-Group t-Test for the Mean,difference between 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 fo作者: 沉積物 時(shí)間: 2025-3-24 14:43 作者: jumble 時(shí)間: 2025-3-24 17:40 作者: Inelasticity 時(shí)間: 2025-3-24 22:19
Multiple Correlation and Multiple Regression,eded to 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 corre作者: nocturnal 時(shí)間: 2025-3-25 02:22
One-Way Analysis of Variance (ANOVA),see if they are “significantly different from each other.” If this overall ANOVA test 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 example is used delineating the作者: conjunctivitis 時(shí)間: 2025-3-25 03:35 作者: addition 時(shí)間: 2025-3-25 07:44 作者: Adenoma 時(shí)間: 2025-3-25 13:51
James M. Buchanan,Richard E. Wagnerecific 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: 改革運(yùn)動(dòng) 時(shí)間: 2025-3-25 18:29 作者: Digest 時(shí)間: 2025-3-25 21:22
https://doi.org/10.1007/978-3-0348-6697-2difference between 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 fo作者: Herbivorous 時(shí)間: 2025-3-26 00:43
Untersuchung von Rogen und Kaviar,practical 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 for each chapter is presented in the Practice Test given in Appendix B along with answers in A作者: 貧困 時(shí)間: 2025-3-26 05:36 作者: 拱形面包 時(shí)間: 2025-3-26 09:20 作者: 大溝 時(shí)間: 2025-3-26 14:41
E. Zeiske,B. Theisen,H. Breuckersee if they are “significantly different from each other.” If this overall ANOVA test 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 example is used delineating the作者: 男生如果明白 時(shí)間: 2025-3-26 17:50
James M. Buchanan,Richard E. Wagnernd 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: Cosmopolitan 時(shí)間: 2025-3-26 22:08 作者: hangdog 時(shí)間: 2025-3-27 04:12 作者: 螢火蟲 時(shí)間: 2025-3-27 05:19 作者: 創(chuàng)造性 時(shí)間: 2025-3-27 12:34 作者: connoisseur 時(shí)間: 2025-3-27 16:32 作者: 巧辦法 時(shí)間: 2025-3-27 21:35 作者: Condense 時(shí)間: 2025-3-28 00:29
E. Zeiske,B. Theisen,H. Breuckeration 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作者: 脾氣暴躁的人 時(shí)間: 2025-3-28 04:30 作者: bromide 時(shí)間: 2025-3-28 08:30
978-3-030-39263-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: adroit 時(shí)間: 2025-3-28 11:38 作者: Mirage 時(shí)間: 2025-3-28 18:04
Thomas J. QuirkWritten in a step-by-step, instructional format, using the Excel steps with their accompanying color screenshot figures to show the reader what should be happening on the reader‘s computer monitor, en
