Battery lifetime is normally distributed for large samples. The mean lifetime is 500 days, and the standard deviation is 61 days. Approximately what percentage of batteries have lifetimes longer than 561 days? Use the z-score table to determine the percentage. (1 point) Responses 16% 16% 68% 68% 84% 84% 34%

1 answer

To determine the percentage of batteries that have lifetimes longer than 561 days, we first need to calculate the z-score. The z-score is calculated using the formula:

\[ z = \frac{(X - \mu)}{\sigma} \]

where:

  • \(X\) is the value we are interested in (561 days),
  • \(\mu\) is the mean (500 days),
  • \(\sigma\) is the standard deviation (61 days).

Substituting the values:

\[ z = \frac{(561 - 500)}{61} = \frac{61}{61} = 1 \]

Next, we look up the z-score of 1 in the z-score table, which gives us the area to the left of the z-score. The area corresponding to \(z = 1\) is approximately 0.8413. This means that about 84.13% of the batteries have lifetimes less than 561 days.

To find the percentage of batteries with lifetimes longer than 561 days, we subtract this value from 1:

\[ 1 - 0.8413 = 0.1587 \]

To express this as a percentage:

\[ 0.1587 \times 100 \approx 15.87% \]

Thus, approximately 16% of the batteries have lifetimes longer than 561 days.

The final answer is: 16%