Spss statistics meaning
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You should note that you cannot accept the null hypothesis, we can only reject the null or fail to reject it.Ī statistically significant result cannot prove that a research hypothesis is correct (as this implies 100% certainty). This means we retain the null hypothesis and reject the alternative hypothesis. If the p-value is below your threshold of significance (typically p 0.05) is not statistically significant and indicates strong evidence for the null hypothesis. Therefore, we reject the null hypothesis, and accept the alternative hypothesis. It indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null is correct (and the results are random). ANOVA is a parametric test in SPSS that determines whether there is statistical evidence that the associated population means are significantly different by comparing the means of two or more groups. A p-value less than 0.05 (typically ≤ 0.05) is statistically significant.The smaller the p-value, the stronger the evidence that you should reject the null hypothesis.
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The level of statistical significance is often expressed as a p-value between 0 and 1. How do you know if a p-value is statistically significant?Ī p-value, or probability value, is a number describing how likely it is that your data would have occurred by random chance (i.e.