A study of 12,000 able-bodied male students at the University of Illinois found that their times for the mile run were approximately Normal with mean 6.88 minutes and a standard deviation of 0.57 minutes. Choose a student at random from this group and call his time for the mile Y. Find P(Y<6) and interpret the result. Follow the four-step process (State, Plan, Do, and Conclude)

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Answer:

[tex]P (y < 6) = \frac{P(y- \mu)}{\sigma} <\frac{6> \mu}{\sigma} \\\\=P(z<\frac{6-6.88}{0.57} )\\\\=P(z<-1.54)\\\\=0.0618[/tex]

Therefore the probability that a randomly selected student has time for mile run is less than 6 minute is 0.0618

Step-by-step explanation:

Normal with mean 6.88 minutes and

a standard deviation of 0.57 minutes.

Choose a student at random from this group and call his time for the mile Y. Find P(Y<6)

[tex]\mu = 6.88[/tex]

[tex]\sigma = 0.57[/tex]

y ≈ normal (μ, σ)

The z score is the value decreased by the mean divided by the standard deviation

[tex]P (y < 6) = \frac{P(y- \mu)}{\sigma} <\frac{6> \mu}{\sigma} \\\\=P(z<\frac{6-6.88}{0.57} )\\\\=P(z<-1.54)\\\\=0.0618[/tex]

Therefore the probability that a randomly selected student has time for mile run is less than 6 minute is 0.0618

The probability that a randomly selected students has time for mile run is less than 6 minute is 0.0618.

[tex]P(y<6)=0.0618[/tex]

Given:

Number of able-bodied male students = 12,000

Normal with mean 6.88 minutes.

Standard deviation of 0.57 minutes.

μ = 6.88

σ = 0.57

y ≈ normal (μ, σ)

The z score is the value decreased by the mean divided by the standard deviation

[tex]P(y<6)=\frac{P(y-u)}{\sigma}<\frac{y>u}{\sigma}\\=P(z<\frac{6-6.88}{0.57}\\=P(z<-1.54)\\= 0.0618[/tex]

Therefore, the probability that a randomly selected students has time for mile run is less than 6 minute is 0.0618.

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