Purpose of Null Hypothesis Testing
The fundamental purpose of null hypothesis testing is to provide researchers with a formal framework to decide between two distinct interpretations of their sample data. It helps determine whether an observed statistical relationship accurately reflects a genuine relationship in the broader population or if it is simply the misleading result of random sampling error.
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Research Methods in Psychology - 4th American Edition @ KPU
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Purpose of Null Hypothesis Testing
Two Interpretations of a Statistical Relationship in a Sample
Example of Sampling Error
What does the term 'sampling error' refer to in the context of psychological research?
Purpose of Null Hypothesis Testing
Null Hypothesis Testing
What are the two mutually exclusive interpretations researchers must choose between when they observe a statistical relationship within a sample?
A researcher surveys 80 university students and finds a positive correlation between daily study hours and exam scores. According to the logic of statistical inference, it is a legitimate interpretation that no real relationship between study hours and exam scores exists in the broader student population, and that the correlation appeared in the sample solely because of chance variation in which individuals happened to be selected.