The t-value is a statistic used in hypothesis testing to determine if there is a significant difference between the means of two groups. It is calculated by taking the difference between the group means, divided by the standard error of the difference. A higher t-value indicates a greater difference relative to the variability in the data, which can lead to rejecting the null hypothesis. It is commonly used in t-tests, especially when sample sizes are small and the population standard deviation is unknown.
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