The expected (mean) life of a particular type of light bulb is 1,000 hours with a standard deviation of 50 hours. The life of this bulb is normally distributed. What is the probability that a randomly selected bulb would last longer than 1150 hours? 0.9987 0.0013 0.5013 0.5513 0.4987

Option B) 0.0013

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 1000 hours

Standard Deviation, σ = 50 hours

We are given that the distribution of life of bulb is a bell shaped distribution that is a normal distribution.

Formula:

P(bulb would last longer than 1150 hours)

Calculation the value from standard normal z table, we have,  

0.0013 is the probability  that a randomly selected bulb would last longer than 1150 hours.

Thus, the correct answer is

Option B) 0.0013

answer: 34rtyj,jkhtyetwrhyjeuiejnbhdfknbkguxfrbhkfdbjvkmbd,kvbsd.kxjvbhjnfbgjxdfn

step-by-step explanation:

c. y = 1/4 x + 5

step-by-step explanation:

first, put the equation of the line on the graph into slope-intercept form

(y = mx + b):   y = -4x + 8

second, a perpendicular line has to have "an opposite/reciprocal slope" to the original slope. so, find the "m" value in your original equation (it's -4, right? )

original slope: m = -4   perpendicular slope: change the sign to its opposite and find the reciprocal ("flip" the number)

new slope is now positive (b/c the original slope was negative 4), and it's 1/4 (not the original slope of 4 or 4/1)