In statistics,we test against the null hypothesis in hopes that our evidence will be inconsistent with the predicted "no effect" outcome.

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This statement is true. The null hypothesis is typically a statement of "no effect", which means that there will be no significant difference between groups or variables being compared. The goal of hypothesis testing is to gather evidence that is inconsistent with the null hypothesis and supports an alternative hypothesis, indicating that there actually is a significant difference or effect.

In Statistics,we Test Against the Null Hypothesis in Hopes That