Answer:
If the 95% confidence interval for the difference of the sample means is -1.26 to 3.44, it means that we can be 95% confident that the true population difference between the two means falls within this range.
Since the value of the sample mean difference is 1.74 and falls outside the 95% confidence interval, it suggests that the sample mean difference is statistically significant at the 5% level (alpha = 0.05). In other words, the difference in means is unlikely to have occurred by chance alone and may represent a true difference between the two populations.
Step-by-step explanation: