The employees of cartwright manufacturing are awarded efficiency ratings. the distribution of the ratings approximates a normal distribution. the mean is 400, the standard deviation 50. what is the area under the normal curve between 400 and 482?

Respuesta :

A suitable probability calculator will tell you that area is about 0.44950.
Ver imagen sqdancefan

Answer:

The area under the normal curve between 400 and 482 is [tex]0.4495[/tex]

Step-by-step explanation:

Let's start defining the random variable.

[tex]X[/tex] : ''Efficiency ratings''

We know that the distribution of [tex]X[/tex] approximates a normal distribution ⇒

[tex]X[/tex] ~ [tex]N[/tex] (μ,σ)

Where the normal distribution is defined by the parameters μ (mean) and σ (standard deviation) ⇒

We know that the mean is 400 and the standard deviation is 50 ⇒

[tex]X[/tex] ~ [tex]N[/tex] [tex](400,50)[/tex]

The area under the normal curve between 400 and 482 represents the probability of the variable ([tex]X[/tex] in this case) to assume values between 400 and 482.

We need to calculate :

[tex]P(400<X<482)[/tex]

We can standardized this variable by subtracting the mean and then dividing by the standard deviation.

The new variable (X-μ)/σ is called Z

The distribution of Z is

[tex]Z[/tex] ~ [tex]N(0,1)[/tex]

The probabilities of Z are in any table on internet.

To calculate [tex]P(Z\leq a)[/tex] we can use Φ(a) where Φ is the cumulative function of Z.

Solving the exercise :

[tex]P(400<X<482)[/tex] ⇒

[tex]P(\frac{400-400}{50}<Z<\frac{482-400}{50})[/tex] ⇒

[tex]P(0<Z<1.64)[/tex]

We find that [tex]P(400<X<482)=P(0<Z<1.64)[/tex]

Looking for the values of the cumulative function of Z in any table we can write :

[tex]P(0<Z<1.64)=[/tex] Φ(1.64) - Φ(0) = 0.9495 - 0.500 = 0.4495

We find that the probability is 0.4495 and therefore the area under the normal curve (of X) between 400 and 482 is 0.4495