If the test result is statistically significant (P 0.05), the test hypothesis is unreliable or needs to be rejected.
What does P (0.05) mean in chi-square?
According to the ASA panel, the P value is "the probability that, given a certain statistical model, a statistical summary of the data (for example, the sample mean difference between the two compared groups) would be equal to or more extreme than its observed value."
P > 0.05 implies that the null hypothesis is likely to be true.
One less than the P value represents the probability that the alternative hypothesis is true.
The test hypothesis must be rejected if the test result is inaccurate or statistically significant (P 0.05).
No effect was detected if the P value was higher than 0.05.
We presumptively reject the null hypothesis until we have enough information to conclude otherwise. There are just two results that can arise from a hypothesis test. When p-value is less than or equal to significance level, the null hypothesis is rejected. The alternative hypothesis is supported by evidence.
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