3. (3pts) Cherry trees in a certain large orchard have heights that are normally distributed with mean $\mu=112$ inches and standard deviation $\sigma=14$ inches. Fill in the 3 missing values, giving 3 decimal places.
MAT 133: Cumulative Review WS \#7 (Ch 1-10) p.2
The cumulative probability for a cherry tree height of 130 inches is \( \boxed{0.901} \).
Step 1 :Calculate the cumulative probability for a cherry tree height of 120 inches using the normal distribution with mean \( \mu = 112 \) inches and standard deviation \( \sigma = 14 \) inches.
Step 2 :The cumulative probability for a cherry tree height of 120 inches is \( \boxed{0.716} \).
Step 3 :Calculate the cumulative probability for a cherry tree height of 100 inches using the same normal distribution parameters.
Step 4 :The cumulative probability for a cherry tree height of 100 inches is \( \boxed{0.196} \).
Step 5 :Calculate the cumulative probability for a cherry tree height of 130 inches using the same normal distribution parameters.
Step 6 :The cumulative probability for a cherry tree height of 130 inches is \( \boxed{0.901} \).