218k views
2 votes
in a study of sodium intake, a sample of u.s residents was found to have a mean daily sodium intake of 3,720 mg. suppose that this result was based on a sample of size 26 and that the sample standard deviation is 1,148 mg. determine the 98% confidence interval for the true mean of daily sodium intake.

User Redman
by
7.7k points

1 Answer

2 votes

Final answer:

To determine the 98% confidence interval for the true mean of daily sodium intake, use the formula CI = x ± Z * (σ / √n), and plug in the given values for x, Z, σ, and n. The resulting confidence interval is approximately (3173.17, 4266.83) mg.

Step-by-step explanation:

To determine the 98% confidence interval for the true mean of daily sodium intake, we can use the formula:

CI = x ± Z * (σ / √n)

Where:

  • CI is the confidence interval
  • x is the sample mean
  • Z is the Z-score corresponding to the desired confidence level (in this case, 98%)
  • σ is the sample standard deviation
  • n is the sample size

Plugging in the values given:

x = 3720 mg

Z = 2.33 (corresponding to a 98% confidence level)

σ = 1148 mg

n = 26

Substituting these values into the formula, we get:

CI = 3720 ± 2.33 * (1148 / √26)

Simplifying the expression:

CI ≈ 3720 ± 546.83

Thus, the 98% confidence interval for the true mean of daily sodium intake is approximately (3173.17, 4266.83) mg.

User OrS
by
7.8k points

No related questions found

Welcome to QAmmunity.org, where you can ask questions and receive answers from other members of our community.