要花数年来收集证实或推翻他的假设的数据。
The statistics to prove or disprove his hypothesis will take years to collect.
迄今为止，支持这一假设的数据并不是特别有说服力。
So far, data to support this hypothesis are not particularly compelling.
当然，这些只是假设的数据，但通常来讲你在小镇上的情况就是这样。
Of course, these are completely made up statistics but are generally what you're dealing with in small towns.
假设我们希望将数据从本地主机上的 /opt/pluto复制到远程主机北角文件系统 /opt/pluto。
Assume we wish to copy data from /opt/pluto on the local host to the remote host nordkapp filesystem /opt/pluto.
不幸地是，该行为包含一个未声明的假设，即该数据已经过验证。
Unfortunately, that behavior includes an unstated assumption that the data has already been validated.
但是假设想获得公司数据的一个序列。
这些代码生成如清单8所示的JSON数据，假设给出了一个错误条件。
This code generates the following JSON data shown in Listing 8, assuming an error condition is present.
让我们假设针对组织数据的请求来自于销售部门。
Let's assume a request for organization data comes from the sales department.
此场景假设该库的数据类型和映射已经存在，因此本文将不介绍如何创建它们。
This scenario assumes that the library's data types and maps already exist, so this article will not cover how they are created.
然而，如果达尔文错了，假设数据的成因是各种内部因素。
Suppose, however, that Darwin got this wrong and various internal factors account for the data.
因此，即使科学方法——连同它的假设、数据收集和统计分析——有了相当完好的保存，但是科学家用以得到结论的方法大部分还不为人知。
So even though the scientific method-with its hypotheses, data collection and statistical analysis-is well documented, the method by which scientists come to conclusions remains largely hidden.
或者，假设您想搜索包含P DF数据的ifs流文件。
Or suppose you want to search IFS stream files that contain PDF data.
注意：我们对此情景的假设是业务数据已经是xml格式的，尽管数据库可能没有任何XML功能。
Note: an assumption we are making for this scenario is that the business data is already in XML, even if the database might not have any XML capabilities.
这里不再赘述不必要的细节，假设数据库中已经有了以下准备运行的存储过程
So that I don't bore you with unnecessary details, I am just going to assume that I already have the following stored procedures in the database ready to go
预测的误差可能来自错误的数据、错误的假设或错误的模型。
Errors in forecasting can result from bad data, wrong assumptions or a faulty model.
本文假设您了解基础的数据库技术。
This article assumes you have basic knowledge of database terminology.
最常见的错误是做出这样的假设：因为程序将该数据写出，该程序就能不用验证再一次将该数据读回去。
The most common mistake is to assume that because an instance of your program wrote the data out, it can read that data back in again without verifying it.
下面三种所有权转移的场景都假设数据库不是用新的限制选项创建的。
All three scenarios of ownership transfer below assume that the database is not created with the new restrictive option.
问题：假设数据库a是激活的。
应选择防止复制向备用表应用存储冲突的数据的选项，防止新数据(假设新数据更好)被旧数据覆盖。
Choosing the option that prevents replication from applying the conflicted data to the standby table, prevents newer data (assumed to be better) from being overwritten by older data.
例如，如果构建没有避免一些简单的假设，例如会去掉用陈旧的数据生成的二进制文件，那么前一次构建遗留下来的文件就会引起错误。
For instance, if your build doesn't reduce simple assumptions, such as removing generated binaries with stale data, an error could arise from a leftover file from a previous build.
人们常假设数据是简单的、可理解的、和可信的；而理论则是复杂、深奥、和难解的，因而会给予数据较优先的考虑。
People often assume that data are simple, graspable and trustworthy, whereas theory is complex, recondite and slippery, and so give the former priority.
本文假设多维数据集模型的维具有平衡的层次结构和标准部署。
This paper assumes the dimensions of the cube model have hierarchies of balanced type and standard deployment.
开发团队假设使用该数据的团队将是使用性能工具的同一团队。
The development team assumed that the group using that data would be the same team using the performance tool.
所有的数据都假设每年的通胀为2%，每年的平均存款利率增长率为6%。
All these figures assume inflation of 2pc a year and that savings enjoy annual average growth of 6pc.
通常关于基本数据类型之间关系的假设在64位数据模型上都已经无效了。
Common assumptions about the relationships between the fundamental data types may no longer be valid in a 64-bit data model.
注意：该使用指南中报告的结果是假设的，数据由作者杜撰。
Note: the results reported in this tutorial are fictional and were created by the authors.
然后他们重新分析了老的看起来支持传统假设的实验数据-现在认为，这些结果也与新模型一致。
They then reanalysed older experimental data thathad seemed to support the traditional picture of water - and now arguethat these results, too, are consistent with the new model.
换句话说(使用数据绑定api这个具体的例子)，不要假设您的代码每次处理XML都要使用数据绑定。
In other words (using the specific example of a data binding API), don't assume that you want to use data binding every time your code works with XML.
假设输入与输出服务都使用相同的数据类型。
Presumably both the input and the output services use the same data types.
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