標(biāo)題: Titlebook: Excel 2013 for Human Resource Management Statistics; A Guide to Solving P Thomas J. Quirk,Julie Palmer-Schuyler Textbook 2016 The Editor(s) [打印本頁] 作者: fundoplication 時(shí)間: 2025-3-21 16:52
書目名稱Excel 2013 for Human Resource Management Statistics影響因子(影響力)
書目名稱Excel 2013 for Human Resource Management Statistics影響因子(影響力)學(xué)科排名
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書目名稱Excel 2013 for Human Resource Management Statistics網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Excel 2013 for Human Resource Management Statistics被引頻次學(xué)科排名
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書目名稱Excel 2013 for Human Resource Management Statistics讀者反饋學(xué)科排名
作者: 形狀 時(shí)間: 2025-3-21 21:14
Textbook 2016roblems. is the next book to capitalize on these improvements by teaching students and managers how to apply Excel 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-unders作者: 馬賽克 時(shí)間: 2025-3-22 02:09
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: parsimony 時(shí)間: 2025-3-22 08:15 作者: 領(lǐng)袖氣質(zhì) 時(shí)間: 2025-3-22 10:40 作者: 散開 時(shí)間: 2025-3-22 13:31 作者: 散開 時(shí)間: 2025-3-22 20:17
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: 富饒 時(shí)間: 2025-3-22 21:56
Multiple Correlation and Multiple Regression,es the coefficients needed 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 作者: 泥沼 時(shí)間: 2025-3-23 03:10
One-Way Analysis of Variance (ANOVA),population means of the three or more groups 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, explain作者: 不感興趣 時(shí)間: 2025-3-23 06:01 作者: 昏迷狀態(tài) 時(shí)間: 2025-3-23 11:34
Mixtures of normal distributions,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: Precursor 時(shí)間: 2025-3-23 17:28
Finite Mixtures of Regression Models, 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: 故意釣到白楊 時(shí)間: 2025-3-23 21:47
https://doi.org/10.1007/978-3-319-98029-4tween 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 i作者: CHAFE 時(shí)間: 2025-3-23 22:54 作者: BRINK 時(shí)間: 2025-3-24 02:53
https://doi.org/10.1007/BFb0079708th 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: Sleep-Paralysis 時(shí)間: 2025-3-24 06:45 作者: 高度表 時(shí)間: 2025-3-24 14:08
https://doi.org/10.1007/3-540-51525-9population means of the three or more groups 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, explain作者: 紡織品 時(shí)間: 2025-3-24 17:03 作者: 拋棄的貨物 時(shí)間: 2025-3-24 20:22
2570-4605 C.This book purposely does not include a CD of Excel files. .This book shows how Microsoft Excel is able to teach human resource management statistics effectively. Similar to the previously published .Excel 2010 for Human Resource Management Statistics., it is a step-by-step exercise-driven guide fo作者: 征稅 時(shí)間: 2025-3-24 23:53 作者: 廣口瓶 時(shí)間: 2025-3-25 06:41 作者: 殘忍 時(shí)間: 2025-3-25 08:58
https://doi.org/10.1007/978-3-319-28982-3Excel 2013; Excel for Human Resource Management; Excel Guide; Applied Human Resource Management Statist作者: constitutional 時(shí)間: 2025-3-25 12:53 作者: Conspiracy 時(shí)間: 2025-3-25 18:21
Excel for Statisticshttp://image.papertrans.cn/e/image/318265.jpg作者: 強(qiáng)所 時(shí)間: 2025-3-25 21:10
978-3-319-28981-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 強(qiáng)壯 時(shí)間: 2025-3-26 02:16 作者: 沒花的是打擾 時(shí)間: 2025-3-26 07:22
Mixtures of normal distributions,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: decode 時(shí)間: 2025-3-26 11:28
Finite Mixture Multinomiales Probitmodellfrom 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: hankering 時(shí)間: 2025-3-26 15:48 作者: 壟斷 時(shí)間: 2025-3-26 20:31 作者: endoscopy 時(shí)間: 2025-3-26 22:17
https://doi.org/10.1007/978-1-4613-0061-8nd 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: TEM 時(shí)間: 2025-3-27 01:38 作者: 拱形大橋 時(shí)間: 2025-3-27 08:16 作者: 巫婆 時(shí)間: 2025-3-27 10:03
https://doi.org/10.1007/3-540-51525-9ation 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: 期滿 時(shí)間: 2025-3-27 14:20
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: 忍受 時(shí)間: 2025-3-27 21:45
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: 多嘴多舌 時(shí)間: 2025-3-27 23:42 作者: 轉(zhuǎn)換 時(shí)間: 2025-3-28 05:53
One-Group t-Test for the Mean, 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 usin作者: gruelling 時(shí)間: 2025-3-28 06:31
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: 不利 時(shí)間: 2025-3-28 12:21 作者: 咽下 時(shí)間: 2025-3-28 18:30
Multiple Correlation and Multiple Regression,er prediction 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 c
