6)
a) Given that the probability that a lightbulb will more than 1800 hours is
1800 - 1400 / 200 = 400 / 200
= 2
using the table , Z- score of 2 is 0.9772
then 1 - 0.9772 = 0.0228
b) Let 10th percentile corresponds to a z- score of -1.28 using the chart table
-1.28 = x - 1400 / 200
= (200)(-1.28) = x -1400
= -256 = x - 1400
then x = 1400 - 250 = 1144
so therefore 10th percentile of the lifetime is 1144 hours
c) Given particular light bulb lasts 1645 hours
then given mean = 1400 hours and standard deviation = 200
then 1645 - 1400 / 200 = 245 / 200 = 1.2250
so therefore the lightbulb is in 1st percentile
d) By using the formula X - mean / standard deviation
= X - 1400 / 200
then 1350 - 1400 / 200 = - 50 / 200 = -0.25
and 1550 - 1400 / 200 = 150 / 200 = 0.75
now by using table values Z - Score of 0.75 is 0.7734
now by using table values Z - Score of -25 is 0.4013
so therefore 0.7734 - 0.4013 = 0.3721
1645 - 1400
Tutorial/e Cu 6. The iletime of a lighibulb in a certain applicotion is aoro mally distributed...
The lifetime of a battery in a certain application is normally distributed with mean = 16 hours and standard deviation o = 2 hours. a) What is the probability that a battery will last more than 19 hours? Select] b) Find the 10th percentile of the lifetimes. (Select] c) A particular battery lasts 14.5 hours. What percentile is its lifetime on? Select)
Question 6 (1 point) A survey among freshmen at a certain university revealed that the number of hours spent studying the week before final exams was normally distributed with mean 25 and standard deviation 7 What is the probability that a randomly selected student spent between 26 and 40 hours studying? Write only a number as your answer. Round to 4 decimal places (for example 0.0048). Do not write as a percentage. Your Answer: Answer Question 7 (1.2 points) The...