Introduction
Prosopagnosia is a cognitive disorder in which facial recognition is impaired, while other aspects of visual processing remains intact (Gruter 2008). This disorder implies that the brain processes visual stimuli differently.
Using the Memory Interference Test (MIT) aggregated database, students can formulate hypotheses based on demographics by studying the number of correct responses and mean reaction time by observing pre-calculated students t-test. This particular assessment compared the students’ response times and mean correct responses in picture-recognition tests and facial-recognition tests. The null hypothesis for this case is that there is no difference in the mean response time or average number of correct responses …show more content…
The 0.05 critical value p-value corresponding to the 10131 degrees of freedom in this research study was 1.962. The corresponding two-tailed p-value for this test’s t-score is less than 0.0001. By conventional criteria, this difference is considered extremely statistically significant. Because the p-value is less than the significance level of 0.05, researchers may conclude that the difference between the mean correct responses in the picture test and facial test reflect a greater difference than sampling error alone and may therefore reject the null hypothesis that these tests have the same mean of correct responses.
The T-test score that compared the average reaction time for the picture memory test and the facial memory test subjects was 26.682. The two-tailed p-value corresponding to the t-score was less than 0.0001 meaning that the test results were significantly significant. Because the p-value results were so low, it is safe to conclude that the difference between these two means is greater than what might have resulted from sampling error and may therefore reject the null hypothesis that these two different tests have the same mean reaction
Prosopagnosia is a cognitive disorder in which facial recognition is impaired, while other aspects of visual processing remains intact (Gruter 2008). This disorder implies that the brain processes visual stimuli differently.
Using the Memory Interference Test (MIT) aggregated database, students can formulate hypotheses based on demographics by studying the number of correct responses and mean reaction time by observing pre-calculated students t-test. This particular assessment compared the students’ response times and mean correct responses in picture-recognition tests and facial-recognition tests. The null hypothesis for this case is that there is no difference in the mean response time or average number of correct responses …show more content…
The 0.05 critical value p-value corresponding to the 10131 degrees of freedom in this research study was 1.962. The corresponding two-tailed p-value for this test’s t-score is less than 0.0001. By conventional criteria, this difference is considered extremely statistically significant. Because the p-value is less than the significance level of 0.05, researchers may conclude that the difference between the mean correct responses in the picture test and facial test reflect a greater difference than sampling error alone and may therefore reject the null hypothesis that these tests have the same mean of correct responses.
The T-test score that compared the average reaction time for the picture memory test and the facial memory test subjects was 26.682. The two-tailed p-value corresponding to the t-score was less than 0.0001 meaning that the test results were significantly significant. Because the p-value results were so low, it is safe to conclude that the difference between these two means is greater than what might have resulted from sampling error and may therefore reject the null hypothesis that these two different tests have the same mean reaction