標(biāo)題: Titlebook: Excel 2010 for Human Resource Management Statistics; A Guide to Solving P Thomas J Quirk,Julie Palmer-Schuyler Textbook 2014 Springer Inter [打印本頁(yè)] 作者: Orthosis 時(shí)間: 2025-3-21 16:58
書(shū)目名稱Excel 2010 for Human Resource Management Statistics影響因子(影響力)
書(shū)目名稱Excel 2010 for Human Resource Management Statistics影響因子(影響力)學(xué)科排名
書(shū)目名稱Excel 2010 for Human Resource Management Statistics網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Excel 2010 for Human Resource Management Statistics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Excel 2010 for Human Resource Management Statistics被引頻次
書(shū)目名稱Excel 2010 for Human Resource Management Statistics被引頻次學(xué)科排名
書(shū)目名稱Excel 2010 for Human Resource Management Statistics年度引用
書(shū)目名稱Excel 2010 for Human Resource Management Statistics年度引用學(xué)科排名
書(shū)目名稱Excel 2010 for Human Resource Management Statistics讀者反饋
書(shū)目名稱Excel 2010 for Human Resource Management Statistics讀者反饋學(xué)科排名
作者: Multiple 時(shí)間: 2025-3-21 22:35
Electrical Properties (Induction) Logging,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: foliage 時(shí)間: 2025-3-22 02:25 作者: 割公牛膨脹 時(shí)間: 2025-3-22 05:08 作者: 引水渠 時(shí)間: 2025-3-22 09:26 作者: Foreshadow 時(shí)間: 2025-3-22 16:29
https://doi.org/10.1007/978-3-319-20255-6nd 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: Foreshadow 時(shí)間: 2025-3-22 18:03
Applying Program Analysis to Code Retrievalsearch 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: malapropism 時(shí)間: 2025-3-22 21:14 作者: 不連貫 時(shí)間: 2025-3-23 02:49
Seeking Out the Real Night Sky,ation mean for the data using either the 95?% confidence interval about the mean (Chapter 3 of this book) or the one-group t-test of the mean (Chapter 4 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 “sign作者: 走調(diào) 時(shí)間: 2025-3-23 06:45 作者: 離開(kāi)真充足 時(shí)間: 2025-3-23 10:13
Excel for Statisticshttp://image.papertrans.cn/e/image/318256.jpg作者: CROAK 時(shí)間: 2025-3-23 16:42
978-3-319-10649-6Springer International Publishing Switzerland 2014作者: echnic 時(shí)間: 2025-3-23 18:56
Excel 2010 for Human Resource Management Statistics978-3-319-10650-2Series ISSN 2570-4605 Series E-ISSN 2570-4613 作者: mechanism 時(shí)間: 2025-3-24 00:43 作者: Presbycusis 時(shí)間: 2025-3-24 05:46 作者: 腫塊 時(shí)間: 2025-3-24 10:16 作者: 睨視 時(shí)間: 2025-3-24 13:33
Textbook 2014ercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. .作者: ORBIT 時(shí)間: 2025-3-24 18:21
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: puzzle 時(shí)間: 2025-3-24 21:45 作者: 粗俗人 時(shí)間: 2025-3-24 23:42
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 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: Aerophagia 時(shí)間: 2025-3-25 03:59 作者: frivolous 時(shí)間: 2025-3-25 11:26 作者: 轎車(chē) 時(shí)間: 2025-3-25 14:30
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: 遵循的規(guī)范 時(shí)間: 2025-3-25 18:04
Multiple Correlation and Multiple Regression,er prediction model by using . to predict Y instead of a single predictor as we discussed in Chapter 6 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作者: dapper 時(shí)間: 2025-3-25 20:11 作者: kyphoplasty 時(shí)間: 2025-3-26 02:51
2570-4605 ry in their courses and work. .Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand human resource management problems. Practice problems978-3-319-10649-6978-3-319-10650-2Series ISSN 2570-4605 Series E-ISSN 2570-4613 作者: 踉蹌 時(shí)間: 2025-3-26 04:53
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: 水獺 時(shí)間: 2025-3-26 10:01 作者: 耕種 時(shí)間: 2025-3-26 15:13 作者: CYN 時(shí)間: 2025-3-26 17:58 作者: Prostatism 時(shí)間: 2025-3-26 21:30
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: 裂隙 時(shí)間: 2025-3-27 02:51
Multiple Correlation and Multiple Regression,ives 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 matri作者: ellagic-acid 時(shí)間: 2025-3-27 06:09
One-Way Analysis of Variance (ANOVA),e 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, explained, and a practical hu作者: Intact 時(shí)間: 2025-3-27 12:49
Electrical Properties (Induction) Logging,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: 極深 時(shí)間: 2025-3-27 16:51 作者: Anemia 時(shí)間: 2025-3-27 20:13 作者: Esalate 時(shí)間: 2025-3-27 23:03 作者: Ophthalmologist 時(shí)間: 2025-3-28 05:00 作者: 辮子帶來(lái)幫助 時(shí)間: 2025-3-28 06:59 作者: Gyrate 時(shí)間: 2025-3-28 11:51 作者: linguistics 時(shí)間: 2025-3-28 17:55
Textbook 2014nts 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-understand human resource management problems. Practice problems作者: intoxicate 時(shí)間: 2025-3-28 19:27 作者: chlorosis 時(shí)間: 2025-3-29 02:24
Uniform Attractors of Nonautonomous Dynamical Systems with Memory,hich . any trajectory. Actually, this means that in the long run the dynamics of an infinite-dimensional system is controlled by a finite number of parameters and this can be of some help for possible numerical approximations.
