You are saying 'IF I do this.' - which is the experimental portion- that 'THEN this will happen'- which is the prediction or 'educated guess' portion. However, yes the best way is to write an if/then statement, because it is formatting your prediction in a very testable way. One of the things that we must be careful when writing a hypothesis is that we should not make it a conclusion (an actual 'statement'!) for instance, "Red apples cause pimples." is a conclusion that could be obtained from an experiment, while "Red apples may cause pimples" might be a hypothesis. Yes, an if/then statement is a very safe way to write a hypothesis. A strong understanding of computer architecture, or how computers work, is also essential. There is no accurate way of measuring if people think that red apples are attractive. When it comes to core skills, computer science professionals should have the ability to measure and compare the efficiency of programs (which is called analysis of algorithms). I think usually non-testable hypothesis are something that are not exactly 'measurable' or 'observable', such as "Many people may think that red apples are attractive". They’re part mathematician, part computer scientist and part trend-spotter. Like the article says, a hypothesis must be testable, meaning we can do experiments with it to see if it is supported or not. Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems and the curiosity to explore what problems need to be solved. I think that there is no definite format to writing a hypothesis, but as you said, yes there is a 'proper' and appropriate way to writing a hypothesis.
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