A sample of six college wrestlers had an average weight of 276 pounds with a sample standard deviation of 12 pounds. Find the 90% confidence interval of the true mean weight of all college wrestlers. Populations seems to be normally distributed.

Please round to the nearest whole number and write your answer in the form ( , ); for example (31,34) or (25,46). Do not type in any extra spaces.

1 answer

To find the 90% confidence interval for the true mean weight of all college wrestlers, we can use the formula for the confidence interval:

\[ \text{CI} = \bar{x} \pm t^* \left( \frac{s}{\sqrt{n}} \right) \]

Where:

  • \(\bar{x}\) is the sample mean.
  • \(t^*\) is the critical value from the t-distribution for the desired confidence level.
  • \(s\) is the sample standard deviation.
  • \(n\) is the sample size.

Given:

  • \(\bar{x} = 276\) pounds
  • \(s = 12\) pounds
  • \(n = 6\)
  1. Find the critical value \(t^*\) for a 90% confidence interval with \(n - 1 = 6 - 1 = 5\) degrees of freedom. Using a t-table, the value for \(t^*\) at 90% confidence and 5 degrees of freedom is approximately 2.015.

  2. Calculate the margin of error (ME): \[ \text{ME} = t^* \left( \frac{s}{\sqrt{n}} \right) = 2.015 \left( \frac{12}{\sqrt{6}} \right) \] First, calculate \(\frac{s}{\sqrt{n}}\): \[ \frac{s}{\sqrt{n}} = \frac{12}{\sqrt{6}} \approx 4.89898 \] Now calculate the margin of error: \[ \text{ME} \approx 2.015 \times 4.89898 \approx 9.877 \]

  3. Calculate the confidence interval: \[ \text{CI} = 276 \pm 9.877 \] This gives us: \[ (276 - 9.877, 276 + 9.877) = (266.123, 285.877) \]

Rounding to the nearest whole number, we have: \[ (266, 286) \]

So, the 90% confidence interval for the true mean weight of all college wrestlers is \((266,286)\).