標(biāo)題: Titlebook: Excel Data Analysis; Modeling and Simulat Hector Guerrero Textbook 20101st edition Springer-Verlag Berlin Heidelberg 2010 Analysis.Business [打印本頁] 作者: ARRAY 時(shí)間: 2025-3-21 19:50
書目名稱Excel Data Analysis影響因子(影響力)
書目名稱Excel Data Analysis影響因子(影響力)學(xué)科排名
書目名稱Excel Data Analysis網(wǎng)絡(luò)公開度
書目名稱Excel Data Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Excel Data Analysis被引頻次
書目名稱Excel Data Analysis被引頻次學(xué)科排名
書目名稱Excel Data Analysis年度引用
書目名稱Excel Data Analysis年度引用學(xué)科排名
書目名稱Excel Data Analysis讀者反饋
書目名稱Excel Data Analysis讀者反饋學(xué)科排名
作者: 無能力 時(shí)間: 2025-3-21 20:32
of?ce visits, and/or emails I have received in my teaching career from ecstatic students crowing about what they have just done with a spreadsheet model. I have been teaching courses related to spreadsheet based analysis and modeling for about 25 years and I have watched and participated in the spreadsheet revolution.978-3-642-10835-8作者: SLAY 時(shí)間: 2025-3-22 01:45 作者: Ceramic 時(shí)間: 2025-3-22 08:02 作者: 褻瀆 時(shí)間: 2025-3-22 10:58
Analysis of Quantitative Data, and we performed data analysis on quantitative data with graphical techniques. This chapter will delve more deeply into the topic of quantitative data analysis, providing us with a strong foundation and a preliminary understanding of the results of a data collection effort. Some statistical tools w作者: 態(tài)學(xué) 時(shí)間: 2025-3-22 15:46
Presentation of Qualitative Data,tive data. Quantitative data is simple to identify; for example, sales revenue in dollars, number of new customers purchasing a product, and units of a SKU (Stock Keeping Unit) sold in a quarter. Similarly, . is easily identifiable. It can be in the form of such variables as date of birth, country o作者: 態(tài)學(xué) 時(shí)間: 2025-3-22 18:42
Analysis of Qualitative Data,e relate to their purchases at the website? Does a positive opinion of the website, relative to a bad or mediocre opinion, lead to higher sales? This type of information is often gathered in the form of an opinion and measured as a categorical response. Also accompanying these opinions are some quan作者: gerontocracy 時(shí)間: 2025-3-22 22:28
Inferential Statistical Analysis of Data, glimpse of another form of statistical analysis known as .. Inferential statistics is how statisticians use inductive reasoning to move from the specific, the data contained in a sample, to the general, inferring characteristics of the population from which the sample was taken.作者: 機(jī)械 時(shí)間: 2025-3-23 02:24
Modeling and Simulation: Part 1,g and analysis skills, we still need a more formal description, one that permits us a precise method of discussing models. Particularly, we need to understand a model’s structure, its capabilities, and its underlying assumptions. So let us carefully re-consider the question—what is a model? This mig作者: Lymphocyte 時(shí)間: 2025-3-23 09:06 作者: 凈禮 時(shí)間: 2025-3-23 11:33 作者: monopoly 時(shí)間: 2025-3-23 17:39
Hector GuerreroThis book is targeted at business students or practitioners looking for a single introductory Excel-based resource covering three essential business skills—Data Analysis, Business Modeling, and Simula作者: esculent 時(shí)間: 2025-3-23 18:26 作者: 高歌 時(shí)間: 2025-3-24 00:17
Springer Series in Materials Science making models with Excel. We also consider the characteristics that make spreadsheets useful, not only for ourselves, but for others with whom we collaborate. As with any tool, learning to use them effectively requires carefully conceived planning and repeated practice; thus, we will terminate the 作者: Measured 時(shí)間: 2025-3-24 06:10 作者: pantomime 時(shí)間: 2025-3-24 09:41 作者: 盤旋 時(shí)間: 2025-3-24 10:51 作者: 高原 時(shí)間: 2025-3-24 18:30
https://doi.org/10.1007/978-1-4302-5166-8e relate to their purchases at the website? Does a positive opinion of the website, relative to a bad or mediocre opinion, lead to higher sales? This type of information is often gathered in the form of an opinion and measured as a categorical response. Also accompanying these opinions are some quan作者: macrophage 時(shí)間: 2025-3-24 22:10 作者: GLIB 時(shí)間: 2025-3-24 23:09 作者: 周興旺 時(shí)間: 2025-3-25 06:00
https://doi.org/10.1007/978-1-4615-5015-0detail. The terms . and . can be a bit confusing because they are often used interchangeably; that is, simulation . modeling and vice versa. We will make a distinction between the two terms and we will see that in order to simulate a process we must first create a model of the process. Thus, modelin作者: fabricate 時(shí)間: 2025-3-25 10:36
https://doi.org/10.1007/978-94-011-6067-4ss array of cell functions, to the sorting, filtering, and querying, to PivotTable and PivotChart reports, to the Data Analysis tools, there seems to be a tool for almost every analytical need. Yet, still there are a number we have not exercised; in particular, the optimization tool Solver. . permit作者: 克制 時(shí)間: 2025-3-25 14:28
https://doi.org/10.1007/978-1-4302-5412-6 glimpse of another form of statistical analysis known as .. Inferential statistics is how statisticians use inductive reasoning to move from the specific, the data contained in a sample, to the general, inferring characteristics of the population from which the sample was taken.作者: 解脫 時(shí)間: 2025-3-25 17:07
Inferential Statistical Analysis of Data, glimpse of another form of statistical analysis known as .. Inferential statistics is how statisticians use inductive reasoning to move from the specific, the data contained in a sample, to the general, inferring characteristics of the population from which the sample was taken.作者: 喊叫 時(shí)間: 2025-3-25 22:02
Springer-Verlag Berlin Heidelberg 2010作者: 搏斗 時(shí)間: 2025-3-26 02:42 作者: 大都市 時(shí)間: 2025-3-26 07:28
business skills—Data Analysis, Business Modeling, and SimulaWhy does the World Need—Excel Data Analysis, Modeling, and Simulation? When spreadsheets ?rst became widely available in the early 1980s, it spawned a revolution in teaching. What previously could only be done with arcane software and large作者: 殺死 時(shí)間: 2025-3-26 10:27
Springer Series in Materials Sciencelaborate. As with any tool, learning to use them effectively requires carefully conceived planning and repeated practice; thus, we will terminate the chapter with an example of a poorly planned spreadsheet that is rehabilitated into a shining example of what a spreadsheet . be.作者: magnanimity 時(shí)間: 2025-3-26 13:26
Pete Aylward,Ken Jokol,Todd Yarda analysis, providing us with a strong foundation and a preliminary understanding of the results of a data collection effort. Some statistical tools will be introduced, but more powerful tools will follow in later chapters.作者: anticipate 時(shí)間: 2025-3-26 17:18
Sham Bhangal,Chad Corbin,Todd Yarda SKU (Stock Keeping Unit) sold in a quarter. Similarly, . is easily identifiable. It can be in the form of such variables as date of birth, country of origin, and revenue status among a sales force (1st, 2nd, etc.).作者: 聾子 時(shí)間: 2025-3-26 22:12 作者: dithiolethione 時(shí)間: 2025-3-27 01:59 作者: Enteropathic 時(shí)間: 2025-3-27 07:01 作者: 失望昨天 時(shí)間: 2025-3-27 10:45 作者: Blood-Clot 時(shí)間: 2025-3-27 15:22
Solver, Scenarios, and Goal Seek Tools,be a tool for almost every analytical need. Yet, still there are a number we have not exercised; in particular, the optimization tool Solver. . permits us to utilize a problem structure known as . Decision makers can search for a . solution for some desired . under . conditions. We will learn more about this .. procedure later in this chapter.作者: 宣傳 時(shí)間: 2025-3-27 21:25 作者: minimal 時(shí)間: 2025-3-28 00:02
https://doi.org/10.1007/978-1-4302-5166-8 and quantitative data elements. Should we be concerned with the type of data we collect? In the prior chapters we have answered this question with a resounding yes. It is the type of the data.categorical, interval, ratio, etc..that dictates the form of analysis that we can perform.作者: SPURN 時(shí)間: 2025-3-28 05:27
Springer Series in Advanced Microelectronicsline between an answer that is simple, and one that does not over-simplify our understanding. Albert Einstein was known to say—“Things should be made as simple as possible, but not any simpler.” We will heed his advice.作者: 迅速成長 時(shí)間: 2025-3-28 09:57
Presentation of Quantitative Data,itative (. or .) data. The process of data gathering often produces a combination of data types, and throughout our discussions it will be impossible to ignore this fact: quantitative and qualitative data often occur together.作者: UNT 時(shí)間: 2025-3-28 13:05
Analysis of Qualitative Data, and quantitative data elements. Should we be concerned with the type of data we collect? In the prior chapters we have answered this question with a resounding yes. It is the type of the data.categorical, interval, ratio, etc..that dictates the form of analysis that we can perform.作者: 規(guī)范要多 時(shí)間: 2025-3-28 17:01
Modeling and Simulation: Part 1,line between an answer that is simple, and one that does not over-simplify our understanding. Albert Einstein was known to say—“Things should be made as simple as possible, but not any simpler.” We will heed his advice.作者: Fabric 時(shí)間: 2025-3-28 21:59 作者: 傻 時(shí)間: 2025-3-29 02:54
