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Titlebook: Excel 2019 for Marketing Statistics; A Guide to Solving P Thomas J. Quirk,Eric Rhiney Textbook 2021Latest edition The Editor(s) (if applica

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21#
發(fā)表于 2025-3-25 07:00:00 | 只看該作者
https://doi.org/10.1007/978-3-030-62781-2Applied Marketing Statistics; Marketing Statistics; Excel 2019 Marketing Statistics; Excel 2019; Excel M
22#
發(fā)表于 2025-3-25 10:52:07 | 只看該作者
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
23#
發(fā)表于 2025-3-25 15:36:26 | 只看該作者
Excel for Statisticshttp://image.papertrans.cn/e/image/318289.jpg
24#
發(fā)表于 2025-3-25 18:58:43 | 只看該作者
978-3-030-62780-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-25 23:34:31 | 只看該作者
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發(fā)表于 2025-3-26 02:19:06 | 只看該作者
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29#
發(fā)表于 2025-3-26 16:18:59 | 只看該作者
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
30#
發(fā)表于 2025-3-26 20:46:35 | 只看該作者
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
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