data anaylsit info from web.docx

data anaylsit info from web.docx - If you are a Data...

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If you are a Data Analyst then you must know that doing data analysis requires quite a bit of thinking. And if you’ve completed a good data analysis project, of course you’ve spent more time thinking and design than doing. The thinking begins before you even look at a dataset, and it’s well worth devoting careful thought to your question. Before we delve into stating the question, it’s helpful to consider what the different types of questions are there. There are mainly six basic types of questions and much of the discussion that follows comes from a paper published in Science by Prof. Roger Peng and Jeff Leek. Understanding the type of question bu yourself you are asking may be the most fundamental step you can take to ensure that, in the end, your interpretation of the results is correct. The six types of questions are: 1. Descriptive 2. Exploratory 3. Inferential 4. Predictive 5. Causal 6. Mechanistic Descriptive question is basically about what is happening? Descriptive aims at describing something, mainly functions and characteristics. An exploratory question is one in which you analyze the data to see if there are; patterns trends or relationships between variables. These types of analyses are also called “hypothesis-generating” analyses. Because rather than testing a hypothesis as we are looking for patterns that would support proposing a hypothesis. If you had a general thought that sleeping less was linked somehow to illnesses, you might explore this idea by examining relationships between a range of dietary factors and viral illnesses. You find in your exploratory analysis that individuals who ate a diet high in certain foods had fewer viral illnesses than those whose diet was not enriched for these foods, so you propose the hypothesis that among adults, eating at least 5 servings a day of fresh fruit and vegetables is associated with fewer viral illnesses per year. An inferential question would be a restatement of this proposed hypothesis as a question and would be answered by analyzing a different set of data, which in this example, is a representative sample of adults in the US. By analyzing
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this different set of data you are both determining if the association you observed in your exploratory analysis holds in a different sample and whether it holds in a sample that is representative of the adult US population, which would suggest that the association is applicable to all adults in the US. In other words, you will
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