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Titlebook: Mastering Statistics with your Microcomputer; Conall Boyle Textbook 1986Latest edition Macmillan Publishers Limited 1986 applied mathemati

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樓主
發(fā)表于 2025-3-21 16:21:38 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mastering Statistics with your Microcomputer
編輯Conall Boyle
視頻videohttp://file.papertrans.cn/626/625539/625539.mp4
圖書封面Titlebook: Mastering Statistics with your Microcomputer;  Conall Boyle Textbook 1986Latest edition Macmillan Publishers Limited 1986 applied mathemati
出版日期Textbook 1986Latest edition
關(guān)鍵詞applied mathematics; computer; mathematics; statistics
版次1
doihttps://doi.org/10.1007/978-1-349-18211-4
copyrightMacmillan Publishers Limited 1986
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:54:58 | 只看該作者
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板凳
發(fā)表于 2025-3-22 00:46:16 | 只看該作者
Store Data on Your Computerrst time. If your knowledge of BASIC is very patchy, then you might find some of the material a bit baffling. But I would expect if you have written even the simplest of programs, that you will take this chapter in your stride!
地板
發(fā)表于 2025-3-22 07:28:01 | 只看該作者
Sorting Data Into Order into the structure of prices. You can do this sorting into order by hand, using the stem and leaf plot that you worked out previously in Task 3.4. For instance, if the full digit version of the interval £22 000 (meaning £22 000 and over, and up to £24000) showed;
5#
發(fā)表于 2025-3-22 09:13:26 | 只看該作者
Find the Hinges a stem and leaf plot, by computer. With the ordered set of data it will be quite simple to repeat the plot, but this time with the leaves listed out in order. Keep the level of recording simple; wide intervals and single-digit leaves.
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發(fā)表于 2025-3-23 03:14:29 | 只看該作者
Data baseThis book is about exploring data with the aid of your microcomputer. But before you can do any exploring on the computer. You need some data to work on. Here we concentrate on the .; the computing will start in the next chapter.
10#
發(fā)表于 2025-3-23 06:35:02 | 只看該作者
Types Of Data and Scales of MeasurementThis is a short chapter, dealing with quite a philosophical topic. Remember the data on house prices? You collected three pieces of data for each house. Remind yourself what they were:
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