What is data and why is it important in a scientific experiment?

Answer 1

it's important because that way you can organize your experiment better.

Answer 2

Keep in mind that the word "Datum" is singular and the word "Data" is plural, although apparently there is debate over the usage and whether Data refers to a singular data set.

Data refers to the values or information that is collected in an experiment which will either support or fail to support the hypothesis.

Typically statistics are used to analyze the data to verify that an acceptable confidence interval such as 95% that the hypothesis is supported over the "null hypothesis".

Answer 3

To understand that you need to know the basics of the scientific method.

The way the scientific method works is that you start with a theory - let's say that your theory is that frozen soda will melt faster than frozen water.

Then you test the theory with an experiment. In this case maybe you freeze equal amounts of water and soda, then bring them out of the freezer and measure the time it takes for them to

melt. That time is your data, and it's the data that will prove if your theory is correct or not.

Now, usually the more data you have the safer you can be that your theory is correct.

Unless you know that you used equal amounts of soda and water, maybe one lump melted faster because it was smaller.

So you need to know the weights or volumes that you used - that's data too. Or maybe one of them was colder when it came from the freezer, which made it last longer. That's data as well.

Answer 4

One important scientific quotation is "The plural of anecdote is NOT data."

Only from unbiased, repeatable measurement, can the inputs to a science question be obtained. Otherwise there is little expectation of a reliable answer.

Answer 5

Data science is important because it solves the business problem. The importance of data in science includes increased productivity and profit , better decisions, more accurate and reliable. Further cost reduction and ease in storage, distributing and report making followed by better analysis and presentation are other..

Answer 6

The principal purpose of Data Science is to find patterns within data. It uses various statistical techniques to analyze and draw insights from the data. From data extraction, wrangling and pre-processing, a Data Scientist must scrutinize the data thoroughly

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Answer 7

In order to analyse and develop machine learning models based on this data, data science plays a crucial role. This is due to the fact that these datasets are used to provide insightful data. Therefore, it becomes sense to expect that as analysis and machine learning advance, so will the need for data science.

Answer 8

data is a better term for graph you coolect info on a bar gragh!

Answer 9

What is a Scientific Question?

Humans are naturally curious. We love to ask questions about the world and how it works. This is what led us to explore the world and spread to every corner of our planet. It's how we learned to farm, create steam engines, fly, and travel to the Moon. But not all questions are the same. There are the kind of questions regular people ask, and then there are the kind of questions scientists ask.

A scientific question is a question that is written in a way that is helpful for completing scientific investigations. A scientific question is one where an investigation can be designed and completed to find out the answer without having to do multiple, entirely different investigations to get there. In a word, a scientific question is testable.

A testable question is one that asks about objects, organisms or events found in the world around us. It can be answered through experiment, observation, or other data collection, by analyzing measurable data and evidence. And a testable question is one based on scientific ideas, not opinions, morals or other subjective things. The answer should be objective and clear.