As we all know math is the language of science. In the upcoming lecture series, we will be talking about the use of mathematics through data collection. Prior to data collection though, it is important to recall the scientific process, that first thing we need is observation in order to question. Once we have constructed our problem, then we can do a background check on what we are trying to figure out. The next thing would be make a guess and then experiment with it, which then later on we can come up with some answers and finally reach a conclusion.

Overview of the Scientific Process:

1. Observation

2. Identification of the Problem

3, Background Research

4. Construct Hypothesis.

5. Test Hypothesis

6. Analyze the results.

7. Generalization or conclusion.

But going back to our real discussion, what’s the role of mathematics on the collection of data?

Let us involve statistics on this one. Well, we wouldn’t believe if survey says we have a low percentage over something that we wanna believe in. And so if we want to believe on something, then we must see numbers of high percentage to make it more a bit convincing.

To make our story short, we will try to perfect our skills in counting. Do try to understand that its not just the ordinary counting.

So what about Dimensional Analysis?

It’s one of the method we use in solving problems and we commonly use this when we convert units and measurements. It is defined as the analysis of the relationships between different physical quantities by identifying their fundamental dimensions (such as length, mass, time, and electric charge) and units of measure (such as miles vs kilometers) and tracking these dimensions as calculations or comparisons are performed. We then usually come up with different versions of formulas with the help of derivations, quick analysis, and basis of similarities to which we have to consider.

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