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2 this question has part a and b

Independent random samples were selected from two quantitative populations, with sample sizes, means, and variances given below.

|                 | Population 1 | Population 2 |
|-----------------|--------------|--------------|
| Sample Size     | 48           | 52           |
| Sample Mean     | 10.4         | 8.5          |
| Sample Variance | 9.5          | 15.42        |

A 90% confidence interval for \( \mu_1 - \mu_2 \) is 0.74 to 3.06, and a 99% confidence interval for \( \mu_1 - \mu_2 \) is 0.09 to 3.71. Use these confidence intervals to answer the questions.

1. Can you conclude with 99% confidence that there is a difference in the means for the two populations?
   - Yes. The value \( \mu_1 - \mu_2 = 0 \) is not in the interval which suggests that there is likely a difference between \( \mu_1 \) and \( \mu_2 \).
   - No. The value \( \mu_1 - \mu_2 = 0 \) is not in the interval which does not suggest that there is a difference between \( \mu_1 \) and \( \mu_2 \).
   - No. The value \( \mu_1 - \mu_2 = 0 \) is in the interval which does not suggest that there is a difference between \( \mu_1 \) and \( \mu_2 \).
   - Yes. The value \( \mu_1 - \mu_2 = 0 \) is in the interval which suggests that there is likely a difference between \( \mu_1 \) and \( \mu_2 \).

2. Can you conclude with 99% confidence that there is a difference in the means for the two populations?
   - Yes. The value \( \mu_1 - \mu_2 = 0 \) is not in the interval which suggests that there is likely a difference between \( \mu_1 \) and \( \mu_2 \).
   - No. The value \( \mu_1 - \mu_2 = 0 \) is not in the interval which does not suggest that there is a difference between \( \mu_1 \) and \( \mu
Transcribed Image Text:Independent random samples were selected from two quantitative populations, with sample sizes, means, and variances given below. | | Population 1 | Population 2 | |-----------------|--------------|--------------| | Sample Size | 48 | 52 | | Sample Mean | 10.4 | 8.5 | | Sample Variance | 9.5 | 15.42 | A 90% confidence interval for \( \mu_1 - \mu_2 \) is 0.74 to 3.06, and a 99% confidence interval for \( \mu_1 - \mu_2 \) is 0.09 to 3.71. Use these confidence intervals to answer the questions. 1. Can you conclude with 99% confidence that there is a difference in the means for the two populations? - Yes. The value \( \mu_1 - \mu_2 = 0 \) is not in the interval which suggests that there is likely a difference between \( \mu_1 \) and \( \mu_2 \). - No. The value \( \mu_1 - \mu_2 = 0 \) is not in the interval which does not suggest that there is a difference between \( \mu_1 \) and \( \mu_2 \). - No. The value \( \mu_1 - \mu_2 = 0 \) is in the interval which does not suggest that there is a difference between \( \mu_1 \) and \( \mu_2 \). - Yes. The value \( \mu_1 - \mu_2 = 0 \) is in the interval which suggests that there is likely a difference between \( \mu_1 \) and \( \mu_2 \). 2. Can you conclude with 99% confidence that there is a difference in the means for the two populations? - Yes. The value \( \mu_1 - \mu_2 = 0 \) is not in the interval which suggests that there is likely a difference between \( \mu_1 \) and \( \mu_2 \). - No. The value \( \mu_1 - \mu_2 = 0 \) is not in the interval which does not suggest that there is a difference between \( \mu_1 \) and \( \mu
Expert Solution
Confidence interval :

Confidence interval is the range of values and it contains the true population parameter with specified confidence level 90%, 95%, 99%.

Confidence interval for mean difference between two groups is used to test the significant difference between two sample means. 

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