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Assignment 1: Data Screening

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Unit 3 DB 1 Data Screening Introduction When we continue this statistics journey, there is no time to get comfortable because the next assignment is approaching. For this journey, we will discuss what is the goal of data screening, how we can identify and remedy errors in data entry, the outliers, and missing data. Once we have answered those questions, then we will have a better understanding about the importance of data screening. The Goal of Data Screening Business dictionary (n.d.) states that the data screening process involves scrutinizing the data for errors or irregularity and correcting them prior to doing the actual data analysis. The data screening main purposes is to: (a) locate and take care of unsatisfactorily sampled variables like rare species (b) locate and correct any data mistakes within the data screening (c) locate and treat all missing data (d) “detect and handle outliers, …show more content…

1). The statistic based for these can be very sensitive to outliers. Thereby, linear regression and ANOVA can sometime carry the assumptions of common statistical procedures. The outliers might actually mess up the analysis, so it is imperative that we check the data for any errors and correct them before submitted them to our class, researchers or our place of employment without following these measures. In spite of all this, we should never get too comfortable because it is not okay to drop an SPSS observation just because it is an outlier. We need to remember that outliers require a legitimate observation, because it’s important for us to always remember that we need to investigate the nature of the outlier to make sure it is correct. So, we need to recheck all data and make sure it is error

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