PLEASE HELP !!

Suppose that a random sample of 200 light bulbs has a mean of 600 hours, a standard deviation of 53 hours and is a bell shape.

According to the Empirical Rule, 99.7% of the light bulbs will have a life between what or two hours?

A. 706-759

B. 600-706

C. 441-759

Given Information:

The average bulb life = μ = 600 hours

standard deviation = σ = 53 hours

Sample follows Bell-Shaped Distribution or Normal Distribution

Step-by-step explanation:

According to the Empirical Rule, 99.7% of the lightbulbs have lifetimes between μ - 3σ  and μ + 3σ

600 - 3(53) and 600 + 3(53)

441 and 759 hours

(b) assuming the data are bell shaped, determine the percentage of lightbulbs that will have a life between 494 and 706 hours.

494 = 600 - 106 = 600 - 2(53) =  μ - 2σ

706 = 600 + 106 = 600 + 2(53) = μ + 2σ

Therefore, according to the Empirical Rule, 95% of the lightbulbs have lifetimes between μ - 2σ  and μ + 2σ

(c) Assuming the data are bell shaped, what percentage of lightbulbs will last between 547 and 706 hours?

547 = 600 - 53 = 600 - 1(53) =  μ - σ

653 = 600 + 53 = 600 + 1(53) = μ + σ

Therefore, according to the Empirical Rule, 68% of the lightbulbs have lifetimes between μ - σ  and μ + σ

(d) If the company that manufactures the lightbulbs guarantees to replace any bulb that does not last at least 441 hours, what percentage of lightbulbs can the firm expect to have to replace, according to the Empirical Rule?

441 = 600 - 159 = 600 - 3(53) = μ - 3σ  

99.7% of the lightbulbs have lifetimes between  μ - 3σ  and  μ + 3σ  

100 - 99.7 = 0.3/2 = 0.15 %

According to the Empirical rule, 0.15% lightbulbs will last less than 441 hours.

answer: the answer is 127 degrees

i dont know if you cant find a way its best to actually add all of them start from 105 tho

step-by-step explanation: