在科学领域，不同类型的数据往往会导致基于这些数据的分歧和不同的结论。在科学中，两种主要的数据类型是定量的和定性的;定量数据是可以用数字来衡量的数据，而定性数据是可以观察和描述的数据。定量数据不仅更精确，而且更容易重现。另一方面，定性数据是根据科学家对实验中某一质量的解释来测量的。例如，在进行滴定时，科学家经常使用颜色指示器来显示滴定完成的时间。然而，他们必须自己决定什么时候颜色变化到足以使滴定被认为是完全的。这将导致大量的错误空间。同样的实验可以在世界各地由科学领域的专家进行几次，但他们可能对数据得出不同的结论。这种数据的不精确性导致了科学家先入为主的想法在多大程度上影响了他们解释数据的方式的问题。通常在科学中，数据要么难以描述，比如滴定完成时溶液的精确颜色，要么无法进行实验来检验理论。例如，弦理论是科学家们几年前提出的，许多科学家今天仍然支持它。用理查德·达维德的话来说，“在这条分界线的一边，站着大多数从事弦物理研究的物理学家，以及在诸如暴涨宇宙学或高能粒子物理模型构建等领域工作的物理学家，这些领域受到弦物理的强烈影响。然而，许多其他专家不同意，拒绝支持这一理论。他们“认为弦理论是一个被大大高估的推测”，如果不能进行实验来证明这个理论，它就不成立。他们拒绝考虑科学家提出的证据，他们只是基于这个单一的想法来支持这个理论。
澳洲科学论文代写:数据结论
In the field of science, the different types of data often leads to disagreement and separate conclusions based on this data. In science, the two main types of data are quantitative and qualitative; quantitative data being data that can be measured in numbers while qualitative data being data that can be observed and described. Quantitative data tends to not only be more precise, but also easier to reproduce. On the other hand, qualitative data is measured based on the scientist’s interpretations of a certain quality within an experiment. For example, when performing titrations, scientists often use color indicators to show when the titration is complete. However, they must decide for their own when the color has changed sufficiently for the titration to be considered complete. This leads to a large amount of room for error. This same experiment can be performed around the world several times by experts in the field of science yet they may all come to different conclusions about the data.This imprecision of this data leads to the question of the extent to which the preconceived ideas of scientists affects the way they interpret data. Often times in science, data is either difficult to describe, as in the exact color of a solution when a titration is complete, or in instances where an experiment cannot be conducted in order to test a theory. For example, String Theory was proposed by scientists years ago and many scientists continue to support it today. In the words of Richard Dawid, “On one side of the divide stand most of those physicists who work on string physics and in fields like inflationary cosmology or high energy particle physics model building, which are strongly influenced by string physics.” Yet, many other experts disagree and refuse to support the theory. They, “consider string theory a vastly overrated speculation,” and without being able to conduct an experiment to prove the theory, it is not valid. They refuse to consider the evidence proposed by scientists who support the theory simply based on this single idea.
