Short Paper One

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Jan 9, 2024

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Short Paper One: Statistical Significance Gloria Goodrum Southern New Hampshire University PSY520: Research Methods in Psych II Instructor: Dr. Emily Sweitzer July 21, 2023

The independent samples t-test is used to examine the relationship between two variables, primarily to determine whether one of the variables can have an impact on another. The null hypothesis generally indicates that there isn't any connection between the independent variables, and the hypotheses are that a particular of the independent variables' impacts has a connection with another variable. The examiner may approve or disapprove of the null hypothesis based on the p-value. The examiner should be able to dismiss the null hypothesis with more confidence if the p-value is low. The likelihood that the information was acquired by coincidence and did not apply to the broader population is given as a percentage and is known as the p-value. Given that it suggests at least a 95% likelihood that the population may use the information obtained broadly, a p-value of less than 0.05 is considered statistically significant. It provides enough proof to disprove the null hypothesis. According to APA 7 guidelines, researchers must disclose their p-value in the research outcomes section. As stated by Rosnow and Rosenthal (2014), "The problem with claiming that there was indeed "no substantial distinction at the.05 level" is that we're left with no idea whether the precise p was.06 (which is not considerably different from.05) or a value far greater than.05, like.50 (no better than flipping a fair coin). The people taking part who drank drinks with caffeine had a mean of 7.64 and a standard deviation of 2.41, according to the scenario given. The subjects who abstained from caffeine reported a mean of 9.81 and a standard deviation 3.16. Additionally, the sample size is 98 because the level of freedom (t = n-1) is 97. Since the mean is higher than the mean for participants who received caffeine-containing drinks, it can be inferred that more individuals were not drinking these beverages. The examiner can reject the null hypothesis because the reported p-value was p 0.05, which is lower than 0.05. By dismissing the null hypothesis, the

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