These are extreme values in a dataset and data points that differ significantly from other observations. They can affect statistical results and may indicate unusual cases or data entry errors.
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Dr. D. Sampath Kumar
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Chi-Square Test of Goodness of Fit Conceptual Framework Cronbach’s Alpha Test Cross-Sectional Design Data Analysis Data Collection Descriptive Design Descriptive Statistical Analysis Distribution-Free Test Ethics in Research Expected frequency Experimental Design Exploratory Design Goodness of Fit Highly Correlated Likert Scales Literature Review Longitudinal Design Mixed Multi-Variate Analysis Multi-Variate Analysis of Variance Multicollinearity Test Multiple ANOVA Non-Probability Sampling Population Primary Data Probability Sampling Qualitative Quantitative Questionnaire Research Approach Research Design Research Ethics Research Gap Research Objectives Review of Literature Sample Sampling Sampling Frame Sampling Principles Secondary Data Semantic Differential Likert Scale Survey Theoretical Framework Type-II Error