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❶Identify any anomalies within a given set of data cases with respect to a given relationship or expectation, e. Data visualization may also be used to examine the data in graphical format, to obtain additional insight regarding the messages within the data.

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The analysis revealed that some statistically significant weight loss occurred, but the magnitude of the effect is small and the clinical relevance is uncertain. They also found that gastrointestinal adverse events were twice as likely in the hydroxycitric acid group as in the placebo group.

When you are considering the potential benefits of products look for meta-analysis studies that take in all the sound research available. One-off studies that get a significant result are not evidence of anything.

Only when an effect is repeated in many studies by many scientists should you believe.


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Methodology chapter of your dissertation should include discussions about the methods of data analysis. You have to explain in a brief manner how you are going to analyze the primary data you will collect employing the methods explained in this chapter. There are differences between qualitative data.

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A source of confusion for many people is the belief that qualitative research generates just qualitative data (text, words, opinions, etc) and that quantitative research generates just quantitative data (numbers).

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Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. According to Shamoo and Resnik () various analytic procedures “provide a way of drawing inductive inferences from data and distinguishing the signal (the phenomenon of . Data analysis has two prominent methods: qualitative research and quantitative research. Each method has their own techniques. Each method .

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When using a quantitative methodology, you are normally testing theory through the testing of a hypothesis. Qualitative data analysis is a search for general statements about relationships among • Aims to derive theory from systematic analysis of data. Data analysis. Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.