Scientific Method

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The unit of abrasion resistance is typically measured in terms of cycles, such as the number of cycles until the material shows signs of wear or damage. Another common unit is the Martindale test, which measures abrasion resistance in terms of the number of rubs before wear is visible.

A hypothesis test is used to make certain decisions based on the data collected.

Scientific observations are often made in the form of measurements because measurements provide quantitative data that can be used to analyze and understand natural phenomena objectively. Measurements allow researchers to record and compare data, test hypotheses, and make predictions based on empirical evidence. By quantifying observations, scientists can establish patterns, relationships, and principles that form the foundation of scientific knowledge.

Yes, the purpose of an experiment is usually to test a hypothesis and determine whether it is supported by the data collected during the experiment. The experiment is designed in a way that allows researchers to make observations and draw conclusions about the hypothesis under investigation.

it is important to write a conclusion to prove a hypothesis because then you have no evidence if your hypothesis was tested or correct or not. from Rezwan Haque I.S.204 Academy Harvord. class 620

Making observation means that you are acquiring information by watching something or someone.

Scientific methods of agriculture involve the application of research and experimental techniques to enhance crop production and farm management. This includes soil testing, genetic modification, integrated pest management, and precision farming practices that utilize technology for monitoring and optimizing agricultural processes. These methods aim to increase yield, improve sustainability, and reduce environmental impact by applying evidence-based strategies and innovations. Ultimately, they contribute to more efficient and productive farming systems.

Scientists are engaged in a process of learning from nature, and that first requires accurate observation. Accurate and meaningful measurements give more useful information than sloppy or meaningless measurements. Sometimes a very small difference in a measured amount is the clue to what is really happening.

There is only one scientific method, however, there is some flexibility in the way in which it is used.

The technological design process and the scientific method both involve systematic approaches to problem-solving and experimentation. Both require defining a problem, gathering information, and testing solutions. However, the technological design process focuses on creating solutions to meet specific needs or requirements, while the scientific method seeks to understand natural phenomena through observation and hypothesis testing. Ultimately, the technological design process is more iterative and practical, whereas the scientific method is more analytical and exploratory.

It is important to include the answer choices so someone can know which is the correct answer. Without seeing the choices a person will not know which is not a way media reflect society.

You can really only answer one question per experiment, but you can do as many experiments as you like, to answer as many questions as you like. The problem with trying to answer more than one question per experiment, is that you will not know how to interpret the data. Let us say you would like to know how a given species of plants will respond to more water, and how it will respond to more sunlight. You increase both, and the plant grows faster. OK, maybe the sunlight was causing the plant to grow faster, maybe the water was causing the plant to grow faster, maybe it was the combination of the two that caused the plant to grow faster; maybe it would have grown just as fast with more sunlight but the same amount of water, and so forth. There are lots of possibilities. Why you need is an experiment that gives a clear and unambiguous result. If you just change one variable, you will know that what variable is responsible for the observed result.

The steps of the scientific method are not always used in the same order because scientific investigations can be flexible and adaptive, depending on the specific research question and context. Researchers may revisit and revise their hypotheses or experiments based on new data or observations. Additionally, exploratory studies may start with observations rather than a hypothesis, and iterative processes often lead to adjustments in methodology. This variability allows scientists to be more responsive and creative in their approach to problem-solving.

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An hypothesis is an idea, notion, conjecture, assertion or statement about reality. The activity we call science is about putting forward and testing hypotheses. For example, you could test your notion that nickel might be magnetic by putting it near a magnet. If it was clearly attracted, you could suggest that "nickel is magnetic" was not just an hypothesis but a fact. If not, you might test with an even stronger magnet, and so on.

Testable hypotheses, especially those that help to explain why things act the way they do, are important because they prompt activities which can improve scientific knowledge.

The "hypothesis" would be a statement of what you were trying to discover or prove.

Five key characteristics of scientists include curiosity, skepticism, open-mindedness, creativity, and attention to detail. Curiosity drives them to ask questions and seek explanations about the natural world. Skepticism encourages them to critically evaluate evidence and challenge existing theories. Open-mindedness allows them to consider new ideas and perspectives, while creativity fosters innovative approaches to problem-solving. Lastly, attention to detail ensures precision in experimentation and data collection.

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1)Make?

2)Test?

3)Reject?

4)Accept?

Let's say it's 1#.

Nothing necessarily. A hypothesis can easily be born simply from a feeling or a thought or a sense or whatever. A hypothesis is really just a well structured question that relates to something of which you are aware. So maybe you are perpetually sad on Tuesdays, you don't need to necessarily observe anything before forming the hypothesis, you can simply form the hypothesis "Tuesdays make me sad," and then from there you make your observations that will allow you to reject or accept your hypothesis.

Granted, you could be argueably "observing" that which prompts your hypothesis, but when you start getting into the real of hypotheses related to highly abstract and intangible matters, you may never have any discerete observations that prompt your hypothesis, you might just have, say, a feeling. For example, if you're almost always angry for no apparent reason, you might form a hypothesis that your anger is modulated by some factor that is external to you, and test that hypothesis against the hypotheiss that your anger is internally mediated.

If we're talking about 2#

Again, not really much of anything. You can have the shittest of hypothesis as far such can be, and that is no problem. You're more concerned with the act of either rejecting or accepting the hypothesis than you are in the perfection of the hypothesis itself.

People make the mistake of thinking that they need grand and earth shattering hypothses to do science. In actuality, all you need to do is make some kind of hypothesis and then let the scientific proccess do its work.

You can easily string together a number of dimunitive hypothesis to form a body of research that supports a very strong theory and that in turn across sufficient time becomes a law.

As for 3# and 4#, you should learn about hypothesis testing as that is a good place to start when trying to determine a metric by which you will accept or reject you hypothesis.

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Physical and life science

Relates to the truth