標(biāo)題: Titlebook: Excel 2019 for Social Work Statistics; A Guide to Solving P Thomas J. Quirk,Simone M. Cummings Textbook 2021Latest edition The Editor(s) (i [打印本頁(yè)] 作者: KEN 時(shí)間: 2025-3-21 16:09
書(shū)目名稱(chēng)Excel 2019 for Social Work Statistics影響因子(影響力)
書(shū)目名稱(chēng)Excel 2019 for Social Work Statistics影響因子(影響力)學(xué)科排名
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書(shū)目名稱(chēng)Excel 2019 for Social Work Statistics被引頻次
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書(shū)目名稱(chēng)Excel 2019 for Social Work Statistics讀者反饋學(xué)科排名
作者: 產(chǎn)生 時(shí)間: 2025-3-21 21:23 作者: 王得到 時(shí)間: 2025-3-22 01:16 作者: 易于 時(shí)間: 2025-3-22 07:27
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: NADIR 時(shí)間: 2025-3-22 12:38
Two-Group t-Test of the Difference of the Means for Independent Groups,al 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 boo作者: 惡意 時(shí)間: 2025-3-22 14:53 作者: 惡意 時(shí)間: 2025-3-22 17:13
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: 檔案 時(shí)間: 2025-3-23 01:14 作者: 寬容 時(shí)間: 2025-3-23 05:04 作者: 分開(kāi)如此和諧 時(shí)間: 2025-3-23 05:50 作者: 災(zāi)難 時(shí)間: 2025-3-23 10:57
https://doi.org/10.1007/978-1-4615-1691-0 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: 迷住 時(shí)間: 2025-3-23 14:48 作者: 咯咯笑 時(shí)間: 2025-3-23 19:41 作者: CUR 時(shí)間: 2025-3-23 22:52 作者: 比目魚(yú) 時(shí)間: 2025-3-24 04:16 作者: 樹(shù)木心 時(shí)間: 2025-3-24 07:51 作者: CRACK 時(shí)間: 2025-3-24 11:36 作者: 軍火 時(shí)間: 2025-3-24 18:52 作者: 不足的東西 時(shí)間: 2025-3-24 22:51 作者: Vulnerable 時(shí)間: 2025-3-25 01:26 作者: 脫落 時(shí)間: 2025-3-25 05:54
https://doi.org/10.1007/978-3-030-68257-6Excel 2019; sample size; standard deviation; standard error of the mean; random number generator; confide作者: 分開(kāi)如此和諧 時(shí)間: 2025-3-25 10:06
Thomas J. Quirk,Simone M. CummingsExplains statistical theory and applies formulas in clear language without getting bogged down in mathematical fine points.Uses step-by-step process so that readers can learn not only how to use Excel作者: 母豬 時(shí)間: 2025-3-25 13:23 作者: CURT 時(shí)間: 2025-3-25 18:25
978-3-030-68256-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: intercede 時(shí)間: 2025-3-25 20:16
Excel 2019 for Social Work Statistics978-3-030-68257-6Series ISSN 2570-4605 Series E-ISSN 2570-4613 作者: AVERT 時(shí)間: 2025-3-26 01:21
Fixation: What should the pathologist do?,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: 鴿子 時(shí)間: 2025-3-26 07:12
Correction to: Fixed Bed Hybrid Bioreactor,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: GEST 時(shí)間: 2025-3-26 09:20
https://doi.org/10.1007/978-3-030-87922-8confidence 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: foppish 時(shí)間: 2025-3-26 16:16 作者: PUT 時(shí)間: 2025-3-26 18:26 作者: 蠟燭 時(shí)間: 2025-3-26 23:50
https://doi.org/10.1007/978-0-387-21593-8search 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: upstart 時(shí)間: 2025-3-27 03:10 作者: amorphous 時(shí)間: 2025-3-27 05:20 作者: 無(wú)能的人 時(shí)間: 2025-3-27 09:27 作者: LARK 時(shí)間: 2025-3-27 15:16
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: expire 時(shí)間: 2025-3-27 19:52 作者: Encephalitis 時(shí)間: 2025-3-27 22:55 作者: calamity 時(shí)間: 2025-3-28 02:20 作者: Explicate 時(shí)間: 2025-3-28 09:09 作者: 軌道 時(shí)間: 2025-3-28 12:53
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: occurrence 時(shí)間: 2025-3-28 15:37 作者: Organonitrile 時(shí)間: 2025-3-28 22:16 作者: Estimable 時(shí)間: 2025-3-28 23:10 作者: 極為憤怒 時(shí)間: 2025-3-29 06:58
