標題: Titlebook: Excel 2019 for Marketing Statistics; A Guide to Solving P Thomas J. Quirk,Eric Rhiney Textbook 2021Latest edition The Editor(s) (if applica [打印本頁] 作者: 萬能 時間: 2025-3-21 18:09
書目名稱Excel 2019 for Marketing Statistics影響因子(影響力)
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書目名稱Excel 2019 for Marketing Statistics網(wǎng)絡公開度學科排名
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書目名稱Excel 2019 for Marketing Statistics被引頻次學科排名
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書目名稱Excel 2019 for Marketing Statistics讀者反饋學科排名
作者: SENT 時間: 2025-3-21 21:17 作者: Assault 時間: 2025-3-22 02:29
Confidence Interval About the Mean Using the TINV Function and Hypothesis-Testing,, 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 answ作者: 態(tài)度暖昧 時間: 2025-3-22 07:11
One-Group t-Test for the Mean,nfidence interval about the mean (Chap. 3) 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 in the Practice Te作者: Obvious 時間: 2025-3-22 11:26 作者: 知道 時間: 2025-3-22 15:20 作者: 知道 時間: 2025-3-22 19:13
Multiple Correlation and Multiple Regression,ite the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables are explained so that you can create a “correlation matrix” for your data set. You will learn how to read this correlation matrix to determine the correlation be作者: 踉蹌 時間: 2025-3-22 22:33 作者: 發(fā)牢騷 時間: 2025-3-23 02:09 作者: CLOWN 時間: 2025-3-23 09:06
Annette Scheunpflug,Christine Schmidt, 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 answ作者: compose 時間: 2025-3-23 13:04 作者: aspect 時間: 2025-3-23 16:18 作者: 容易生皺紋 時間: 2025-3-23 18:47
,Stimmen aus der Praxis?– die Interviews,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: Aromatic 時間: 2025-3-24 00:26
Gegenwart: Was tut sich gerade da drau?en?ite the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables are explained so that you can create a “correlation matrix” for your data set. You will learn how to read this correlation matrix to determine the correlation be作者: MAG 時間: 2025-3-24 04:51 作者: dowagers-hump 時間: 2025-3-24 10:34 作者: obstruct 時間: 2025-3-24 12:54
Textbook 2021Latest editionents and practitioners who need to master Excel to solve practical marketing 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..Excel, a widely available computer program fo作者: Gesture 時間: 2025-3-24 15:05
2570-4605 own.Contains forty (40) statistics problems (as well as ansThis book shows the capabilities of Microsoft Excel in teaching marketing statistics effectively. It is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical marketing problems. If 作者: 1分開 時間: 2025-3-24 20:26 作者: Mettle 時間: 2025-3-25 00:14
Random Number Generator,ter 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 book.作者: 流動性 時間: 2025-3-25 07:00
https://doi.org/10.1007/978-3-030-62781-2Applied Marketing Statistics; Marketing Statistics; Excel 2019 Marketing Statistics; Excel 2019; Excel M作者: 原告 時間: 2025-3-25 10:52
Thomas J. Quirk,Eric RhineyWritten in a step-by-step, instructional format, with accompanying Excel screenshots, enabling readers to solve statistics problems on their own.Contains forty (40) statistics problems (as well as ans作者: Irascible 時間: 2025-3-25 15:36
Excel for Statisticshttp://image.papertrans.cn/e/image/318289.jpg作者: 老巫婆 時間: 2025-3-25 18:58
978-3-030-62780-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Harrowing 時間: 2025-3-25 23:34 作者: MELD 時間: 2025-3-26 02:19 作者: Adrenaline 時間: 2025-3-26 04:59 作者: 邊緣 時間: 2025-3-26 10:17 作者: 玩忽職守 時間: 2025-3-26 16:18
https://doi.org/10.1007/978-3-658-26250-1 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 using your calculato作者: 羊齒 時間: 2025-3-26 20:46
Planungen absichern mit Beirat und Beratern,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: Lacunar-Stroke 時間: 2025-3-27 00:33
,Stimmen aus der Praxis?– die Interviews,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: oblique 時間: 2025-3-27 04:17 作者: bleach 時間: 2025-3-27 06:30
https://doi.org/10.1007/978-3-658-33073-6ation mean for the data using either the 95% confidence interval about the mean (Chap. 3 of this book) or the one-group .-test of the mean (Chap. 4 of this book). You have also learned how to test for the difference between the means for two groups of data to determine if this difference was a “sign作者: 演繹 時間: 2025-3-27 10:02
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: 空氣 時間: 2025-3-27 17:05 作者: 冰河期 時間: 2025-3-27 19:16
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 conf作者: 背信 時間: 2025-3-28 01:46 作者: habitat 時間: 2025-3-28 02:26 作者: macabre 時間: 2025-3-28 07:53 作者: CLOT 時間: 2025-3-28 10:48
Multiple Correlation and Multiple Regression,del by using . to predict Y instead of a single predictor as we discussed in Chap. 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 correlation is to作者: Proponent 時間: 2025-3-28 17:37
One-Way Analysis of Variance (ANOVA),ation mean for the data using either the 95% confidence interval about the mean (Chap. 3 of this book) or the one-group .-test of the mean (Chap. 4 of this book). You have also learned how to test for the difference between the means for two groups of data to determine if this difference was a “sign作者: 有節(jié)制 時間: 2025-3-28 21:38
Genetics, Ecology, and the Evolution of Life Historiesned that colonizing species at low densities in pioneer habitats should evolve a suite of life table characters emphasizing early and rapid production of offspring. In contrast, species in stable communities with density dependence were expected to display traits associated with strong competitive a
