Rejecting The Null Hypothesis Flashcards, test questions and answers

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What is Rejecting The Null Hypothesis?

Rejecting the null hypothesis is a key part of scientific inquiry. In statistical tests, the null hypothesis is an assumption that there is no relationship between two variables. The alternative hypothesis states that there is a relationship between the two variables. A test is performed to determine which hypothesis should be accepted and which should be rejected. The purpose of testing the null hypothesis with data is to determine if it should be rejected or not. If the data supports rejecting it, then we can conclude that there is indeed some kind of relationship between the two variables tested. This allows us to make meaningful conclusions about our research findings and/or decisions based on those findings. The most common method for rejecting a null hypothesis uses a p-value, which measures how likely it is that an observed result could have occurred by chance alone. If this probability falls below a certain threshold (usually 0.05), then we can reject the null hypothesis and accept the alternative one as true instead. In addition to using p-values, other methods for assessing whether or not to reject a null hypothesis may also include conducting additional experiments in order to obtain more evidence, using mathematical models or simulations, or relying on expert opinion from professionals who have done extensive research in their field of study. Rejecting a null hypothesis requires careful consideration and thought before making any conclusions about our research results as well as being aware of any potential biases or other sources of error in our data collection process.