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A statistics professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon. He takes a random sample of 36 students who took a morning class and, independently, another random sample of 36 students who took an afternoon class. He finds that the morning group scored an average of 74 with a standard deviation of 8, while the evening group scored an average of 68 with a standard deviation of 10. The population standard deviation of scores is unknown but is assumed to be equal for morning and evening classes. Let µ1 and µ2 represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon, respectively. Compute the appropriate test statistic to analyze the claim at the 1% significance level.
Signal-Detection Theory
A means to quantify the ability to discern between information-bearing patterns and random patterns that distract from the information in the presence of uncertainty.
Just Noticeable Difference
The smallest change in intensity of a stimulus that can be detected by the sensory system.
Absolute Threshold
The minimum stimulus intensity required to be detectable by the senses.
Stimulus Intensity
The magnitude or strength of a stimulus, which can affect the perception and response of the sensory system to that stimulus.
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