161k views
0 votes
determine the 95% confidence interval for the difference of the sample means. then complete the statements. the 95% confidence interval is -1.26 to 3.44 . the value of the sample mean difference is 1.74, which falls outside the 95% confidence interval.

User Sclv
by
8.6k points

1 Answer

3 votes

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:

User Canh
by
6.9k points

No related questions found