Can you me with this problem? this is due by midnight
2). manufacturer a produces hammers that are normally distributed with a mean weight of 4.6 lb and a standard deviation of 0.8 lb. manufacturer b produces hammers that are normally distributed with a mean weight of 6.3 lb and a standard deviation of 1.4 lb.
(a) what percentage of manufacturer a’s hammers will weigh less than 5 lb?
(b) what percentage of manufacturer b’s hammers will weigh less than 5 lb?
(c) which manufacturer is more likely to produce a hammer weighing exactly 5.2 lb? explain.

Part (a)
Manufacturer A;
Mean, μ = 4.6
Std. deviation, σ = 0.8

For the random variable x = 5, the z-score is
z = (x - μ)/σ = (5 - 4.6)/0.8 = 0.5
From standard tables,
P(x<5) = P(z<0.5) = 0.69 = 69%

 
69% will weigh less than 5 lb.

Part b)
Manufacturer B
μ = 6.3
σ = 1.4

For x = 5, z = (5 - 6.3)/1.4 = -0.9286
From standard tables,
P(x<5) = P(z<-0.9286) = 0.1766 = 17.7%


About 18% will weigh less than 5 lb.

Part (c)
x = 5.2 lb

Manufacturer A:
z = (5.2-4.6)/0.8 =  0.75
From tables,
P(x=5.2) = 0.773 = 77.3%

Manufacturer B:
z = (5.2-6.3)/1.4 = -0.7857
P(x=5.2) = 0.216 = 21.6%


Manufacturer A is more likely to produce a 5.2 lb hammer because its probability is higher.

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