What is p value in SPSS?
Understand the Problem
The question is asking for an explanation of the p-value in the context of SPSS, a statistical software. The p-value is a measure used in hypothesis testing to determine the significance of results. It helps to decide whether to reject the null hypothesis based on the observed data.
Answer
A statistical measure representing the probability of obtaining a result as extreme as the observed data under the null hypothesis.
The p-value in SPSS is a statistical measure that represents the probability of obtaining a result at least as extreme as the observed data, assuming the null hypothesis is true.
Answer for screen readers
The p-value in SPSS is a statistical measure that represents the probability of obtaining a result at least as extreme as the observed data, assuming the null hypothesis is true.
More Information
P-values help researchers determine the statistical significance of their results. A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, suggesting that the observed data is unlikely to have occurred by chance.
Tips
Common mistakes include misunderstanding that a low p-value proves the hypothesis is true. It only suggests that the data is unlikely under the null hypothesis.
Sources
- The web page with info on - Example Source - ncbi.nlm.nih.gov
- SPSS Annotated Output T-test - OARC Stats - UCLA - stats.oarc.ucla.edu
- Understanding P-values | Definition and Examples - Scribbr - scribbr.com
