標(biāo)題: Titlebook: Excel 2013 for Health Services Management Statistics; A Guide to Solving P Thomas J. Quirk,Simone Cummings Textbook 2016 The Editor(s) (if [打印本頁(yè)] 作者: Retina 時(shí)間: 2025-3-21 18:18
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書目名稱Excel 2013 for Health Services Management Statistics讀者反饋學(xué)科排名
作者: 辮子帶來幫助 時(shí)間: 2025-3-21 20:56 作者: conceal 時(shí)間: 2025-3-22 02:35 作者: bronchiole 時(shí)間: 2025-3-22 04:42
https://doi.org/10.1007/978-3-319-45405-4from 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: 抱負(fù) 時(shí)間: 2025-3-22 09:46
Gruppen und endliche projektive Ebenen, 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: 營(yíng)養(yǎng) 時(shí)間: 2025-3-22 16:16
Collineations of finite planes,e 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 usi作者: 營(yíng)養(yǎng) 時(shí)間: 2025-3-22 20:05
Difference sets with classical parameters,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: 瘋狂 時(shí)間: 2025-3-22 22:27 作者: hankering 時(shí)間: 2025-3-23 01:52
Multiply Transitive Permutation Groups,ter 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 作者: 吹牛需要藝術(shù) 時(shí)間: 2025-3-23 09:36 作者: glomeruli 時(shí)間: 2025-3-23 11:10 作者: BRIDE 時(shí)間: 2025-3-23 14:27 作者: monochromatic 時(shí)間: 2025-3-23 18:46
https://doi.org/10.1007/978-3-319-28985-4Excel 2013; Excel for Physical Science; Excel Guide; Applied Health Services Management Statistics; Exce作者: 模仿 時(shí)間: 2025-3-24 02:10 作者: Suggestions 時(shí)間: 2025-3-24 02:54 作者: LUDE 時(shí)間: 2025-3-24 06:46 作者: Ascribe 時(shí)間: 2025-3-24 12:34
Textbook 2016 for Health Services Management Statistics., it is a step-by-step exercise-driven guide for students andpractitioners who need to master Excel to solve practical health servicesmanagement problems.? If understandingstatistics isn’t your strongest suit, you are not especiallymathematically-inclined, 作者: 起皺紋 時(shí)間: 2025-3-24 17:13
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: Rinne-Test 時(shí)間: 2025-3-24 20:35 作者: epidermis 時(shí)間: 2025-3-25 00:32 作者: epicondylitis 時(shí)間: 2025-3-25 04:36 作者: Laconic 時(shí)間: 2025-3-25 11:15
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: 失敗主義者 時(shí)間: 2025-3-25 14:40
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: 慟哭 時(shí)間: 2025-3-25 19:02
Multiple Correlation and Multiple Regression,ter 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 作者: 巨碩 時(shí)間: 2025-3-25 21:40 作者: 生氣地 時(shí)間: 2025-3-26 01:16
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: Conducive 時(shí)間: 2025-3-26 04:51
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing, 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: gratify 時(shí)間: 2025-3-26 09:57 作者: 獸群 時(shí)間: 2025-3-26 15:24 作者: 成份 時(shí)間: 2025-3-26 18:03
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: probate 時(shí)間: 2025-3-26 22:28
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: 粗糙 時(shí)間: 2025-3-27 05:04
One-Way Analysis of Variance (ANOVA),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 health ser作者: 看法等 時(shí)間: 2025-3-27 06:28 作者: heterodox 時(shí)間: 2025-3-27 10:24
Probabilistic Frames: An Overview,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: LIMN 時(shí)間: 2025-3-27 16:01
Gruppen und endliche projektive Ebenen, 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: FECT 時(shí)間: 2025-3-27 21:17 作者: synovial-joint 時(shí)間: 2025-3-28 00:13
Difference sets with classical parameters,tical 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: crockery 時(shí)間: 2025-3-28 02:05
Bertram Huppert,Norman Blackburnth 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: 嚴(yán)峻考驗(yàn) 時(shí)間: 2025-3-28 07:56 作者: declamation 時(shí)間: 2025-3-28 12:03 作者: 作嘔 時(shí)間: 2025-3-28 15:06 作者: 火海 時(shí)間: 2025-3-28 19:45
Excel 2013 for Health Services Management StatisticsA Guide to Solving P
