It is because the p-value is less than 0.05, the null hypothesis is rejected. This means that the independent and dependent variables have a strong association.
The null hypothesis in inferential statistics is that two possibilities are identical. The assumption of the null hypothesis is that the observed difference is solely the result of chance. The probability that the null hypothesis is correct can be determined by statistical tests. Conjectures used in statistical tests, which are formal techniques for drawing inferences or making decisions based on data, include the null hypothesis and the alternative hypothesis. The hypotheses are speculations about a statistical model of the population that are based on a sample of the population. The tests are essential components of statistical inference and are frequently used to distinguish between statistical noise and scientific claims in the interpretation of experimental data from science.
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