The following data represent a random sample of the ages of players in a baseball league. Assume that the population is normally distributed with a standard deviation of 1.8 years. Find the 95% confidence interval for the true mean age of players in this league. Round your answers to two decimal places and use ascending order.

Age: 32, 24, 30,34,28, 23,31,33,27,25

Step-by-step explanation:

n = 10

Mean, m = (32 + 24 + 30 + 34 + 28 + 23 + 31 + 33 + 27 + 25) / 10

= 28.7

From the information given,

Standard deviation, s = 1.8

For a confidence level of 95%, the corresponding z value is 1.96.

We will apply the formula

Confidence interval

= mean ± z * standard deviation/√n

It becomes

28.7 ± 1.96 * 1.8/√10

= 28.7 ± 1.12

The lower end of the confidence interval is 28.7 - 1.12 = 27.58 years

The upper end of the confidence interval is 28.7 + 1.12 = 29.82 years