Reject the Null Hypothesis
Definition
When conducting a hypothesis test, rejecting the null hypothesis means that there is enough evidence to support the alternative hypothesis. In other words, it suggests that there is a significant difference or relationship between variables.
Analogy
Imagine you have a friend who claims they can predict the outcome of a coin flip with 100% accuracy. You decide to test their claim by flipping a coin 100 times and recording the results. If you get heads more often than expected by chance alone, you would reject your friend's claim and conclude that they cannot accurately predict coin flips.
Related terms
Null Hypothesis: The null hypothesis assumes that there is no significant difference or relationship between variables.
Alternative Hypothesis: The alternative hypothesis states that there is a significant difference or relationship between variables.
Type I Error: Type I error occurs when we reject the null hypothesis even though it is true. It represents a false positive result.
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