Question 7 of 14, Step 1 of 1 A survey of 84 randomly selected homeowners finds that they spend a mean of \( \$ 60 \) per month on home maintenance. Construct a \( 98 \% \) confidence interval for the mean amount of money spent per month on home maintenance by all homeowners. Assume that the population standard deviation is \$14 per month. Round to the nearest cent.
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To construct a 98% confidence interval for the mean amount spent on home maintenance, we will use the formula: \[ \text{Confidence Interval} = \bar{x} \pm z \left(\frac{\sigma}{\sqrt{n}}\right) \] Where: - \(\bar{x} = 60\) (sample mean) - \(\sigma = 14\) (population standard deviation) - \(n = 84\) (sample size) - \(z\) is the z-value for a 98% confidence level, which is approximately 2.33. First, we calculate the standard error (SE): \[ SE = \frac{\sigma}{\sqrt{n}} = \frac{14}{\sqrt{84}} \approx \frac{14}{9.165} \approx 1.527 \] Now we calculate the margin of error (ME): \[ ME = z \times SE = 2.33 \times 1.527 \approx 3.56 \] Finally, we construct the confidence interval: \[ \text{Confidence Interval} = 60 \pm 3.56 \] This results in: \[ [60 - 3.56, 60 + 3.56] = [56.44, 63.56] \] Rounding to the nearest cent, the 98% confidence interval for the mean amount spent per month on home maintenance by all homeowners is: \[ \text{Confidence Interval } \approx [56.44, 63.56] \]
