Titlebook: Excel Data Analysis; Modeling and Simulat Hector Guerrero Textbook 20101st edition Springer-Verlag Berlin Heidelberg 2010 Analysis.Business

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書目名稱Excel Data Analysis影響因子(影響力)




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書目名稱Excel Data Analysis網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Excel Data Analysis被引頻次學(xué)科排名




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書目名稱Excel Data Analysis讀者反饋學(xué)科排名

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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

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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

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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

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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

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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.

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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

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