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Since our p-value of ___p-value___ is ___less / greater___ than our alpha level of ___alpha level value___, we ___reject / fail to reject___ the null hypothesis and ___do / don't___ have enough evidence to support the alternative hypothesis, which states ___description of alternative hypothesis___.
When working with t-tests and Chi Square tests, your p-value will be a range instead of a single value (like with a z-test).
It's okay... because all that matters is whether or not we're less than / greater than the alpha level!
Scenario: The Delta Apple Pi chapter at Crammer Nation University claims that their brothers get on average 25 Tinder matches per day. You have a hunch that their daily Tinder matches are actually lower than that, so you collect a random sample of 35 Delta Apple Pi brothers' daily Tinder matches. You measure a mean of 23.5 daily matches with a standard deviation of 5.7 matches. Provide support for your claim using a hypothesis test with an alpha level of 0.05.
Answer: Since our p-value range of 0.05 < p < 0.10 is greater than our alpha level of 0.05, we fail to reject the null hypothesis. We don't have enough evidence to support the alternative hypothesis, which states the brothers of Sigma Apple Pi have an mean daily Tinder match value less than 25.
