Based on data from a random sample of 50 U.S. adults, we are 95% confident that the mean shoulder girth for this population falls between 105.25 and 111.15 centimeters. The margin of error is 2.95 centimeters.

One sample t-summary confidence interval results:
- Mean of population
- Sample mean: 108.2
- Std. Err.: 1.4665395
- df: 49
- Lower limit: 105.25
- Upper limit: 111.15

Decide if each of the following interpretations is valid or invalid:

1. For shoulder girth, 95% of the sample means fall between 105.25 and 111.15 centimeters when the sample size is 50. [Select]

2. For shoulder girth, 95% of the population means fall between 105.25 and 111.15 centimeters. [Select]

3. 95% of the time, the mean shoulder girth for the population will fall between 105.25 and 111.15 centimeters when the sample size is 50. [Select]

4. 95% of the time, the confidence interval from a random sample of 50 U.S. adults will contain the true mean shoulder girth in the population of U.S. adults. [Select]

5. 95% of the time, the confidence interval from a random sample of 50 U.S. adults will estimate the true mean shoulder girth in the population of U.S. adults within a margin of error of 2.95 centimeters. [Select]