Parametric vs Nonparametric Tests

In this lesson, I have discussed about the:
1. Basic concepts of Parametric vs Nonparametric Tests
2. When to use parametric and nonparametric tests
3. Some of Parametric tests and Nonparametric Tests
Parametric statistics are used to make inferences about population parameters.
It has specific assumptions are made about the population.
Nonparametric test is one where the researcher has no idea regarding the population parameter.
Parametric Assumptions:
Normal distribution, no outlier, no skewness.
List of some parametric and nonparametric counterparts
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Lesson-1: Introduction to Research: What is not research, what is research, Research and Knowledge pyramid
• Introduction to Resear...
Lesson-2: Source of research Problems, Research Problem selection consideration
• Source of research Pro...
Lesson-3: Research Process
• Research Methodology |...
Lesson-4: Research Philosophies | Research Paradigm
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Lesson-5: Ethics in Research
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Lesson-6: Types of Research | Examples
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Lesson-7: Sampling
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Lesson-8: Sample Design Process | Examples
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Lesson-9: Probability Sampling
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Lesson-10: Non-Probability Sampling
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Lesson-11: Determining Sample Size using Cochran & Yamane Formula for Finite & Infinite population with Examples
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Lesson-12: Good Sample Design Characteristics | Sampling Error | Systematic Bias
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Lesson-13: Data Collection Procedure | Steps in Data Collection
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Lesson-14: Types of Research Variables
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Lesson-15: Levels of Measurement Scale
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Lesson-16: Sources of Error in measurement
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Lesson-17: Tests of Sound Measurement (Goodness of Measurement)
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Lesson-18: Reliability and Reliability Testing Methods
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Lesson-19: Validity Tests
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Lesson-20: Adopting, Adapting and Developing Measuring Instrument
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Lesson-21: Steps to Develop Measuring Instrument
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Lesson-22: Secondary Data Collection Method
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Lesson-23: Primary Data Collection-Observation Method
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Lesson-24: Primary Data Collection-Interview and Focus Group Discussion
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Lesson-25: Primary Data Collection-Questionnaire and Schedule
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Lesson-26: Qualitative vs Quantitative Data
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Lesson-27: Factors Determining Data Collection Methods
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Lesson-28: Steps in Data Analysis | Data Analysis Process
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Lesson-29: Descriptive Analysis | Frequency | Central Tendency | Dispersion • Descriptive Analysis |...
Lesson-30: Inferential Statistics: T Test | ANOVA | Correlation | Chi Square | Simple Regression | Multiple Regression & Logistic Regression
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