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Performance Management is an important part of an organization as it gives an opportunity to the managers to evaluate the performance of their employees. The evaluation and assessment of the performance provides insights that on which aspects the performance needs to be improved. As a result of carrying out the performance appraisals, rating errors are bound to happen. These errors occur as a result of evaluation of the employees. There may be certain bias or other rating errors that may manipulate the judgements of the reviewer pertaining to the employee performance. These errors can take place even at the time of interviews. The managers should ensure that their judgements are free of these errors and result in fair decisions.
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- Q.1.1.10 If we transform data into more meaningful measures, then this process is referred to as: (2) (1) Statistical modelling (2) Data enrichment (3) Data relevancy (4) Experimentation Q.1.1.11 Categorical data, where the categories have implied ranking, is referred to as: (2) (1) Discrete data (2) Ordinal-scaled data (3) Nominal-scaled data (4) External data Q.1.1.12 You are the CEO of a listed company. The annual financial statements published by your company would be viewed by a rival company as: (2) (1) Internal data (2) External data (3) Nominal data (4) Secondary data Q.1.1.13 Data quality is influenced by: (2) (1) The source of the data (2) The method by which the data is collected (3) The type of data collected (4) All of the other options Q.1.1.14 Data relevancy refers to the fact that data selected for analysis must be: (2) (1) Obtained online (2) Obtained using algorithms (3) Checked for errors and outliers (4) Problem specific 23; 24…arrow_forwardI need typing clear urjent no chatgpt used i will give upvotes full explanation plssarrow_forwarduestion 6 If a pattern of purchase of two products are seen to be made together or closely follow one another, the best method to strategically analyze this purchase pattern would be with: A. Link Analysis B. Case based reasoning C. Sequence analysis D. Cluster analysisarrow_forward
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