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When probability value (p-value) is greater than alpha value, we fail to reject the null hypothesis.

Probablity value is the probability of obtaining an answer equal to or more extreme than the observed value.

Alpha value is the level of significance. It's the value set that determines if a result is statistically significant, or in other words, if it's not likely to have occurred simply due to chance. Alpha value is usually 5%.

There are two hypotheses when we conduct a hypothesis test: the null hypothesis and the alternative hypothesis.

The null hypothesis acts as a default position. It's usually an assumption that there is no relationship between two events or that a treatment has no effect. In most legal systems, the null hypothesis would be that the defendant is innocent.

The alternative hypothesis is what we would assume if we reject the null hypothesis. We reject the null hypothesis when the probability value is less than the alpha value.

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Q: What happens when probability value is greater than alpha value?
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