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Performing Data Analysis - Coursework Example

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Data cleaning is important because it detects and eliminates possible errors in a data set to ensure accuracy and consistency in collected data and validity and reliability of…
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Performing Data Analysis
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Download file to see previous pages The cleaning eliminates errors that the mistake would induce in a data set and therefore ensures data accuracy and ultimate validity of results (Rubin and Babbie, 2013).
Descriptive statistics are important in illustrating trends in data. The statistics summarizes major features of a data set through measures of central tendencies and measures of dispersal to help in understanding distributions. Descriptive statistics also help to understand possible associations between data sets through identifying symmetry in distributions and this offers a basis for hypothesis testing. Identifying difference in means of two data sets, for example, forms ground for testing significance of the difference (Rubin and Babbie, 2013).
Hypothesis informs data collection strategy and data analysis approaches because it dictates the type of data to be collected. My hypothesis that emotional support improves employees’ job performance in the end, for example, dictates collection of data on emotional support from relevant sources and employees’ performance. The hypothesis further dictates use tests for difference in means of performance across levels of emotional support from the investigated ...Download file to see next pagesRead More
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