Question #32118

Lengths of pregnancies of humans are normally distributed with a mean of 267 days and a standard deviation of 14 days. Use the Empirical Rule to determine the percentage of women whose pregnancies are between 265 and 295 days.

Expert's answer

Answer on Question # 32118 – Math – Statistic and Probability

Lengths of pregnancies of humans are normally distributed with a mean of 267 days and a standard deviation of 14 days. Use the Empirical Rule to determine the percentage of women whose pregnancies are between 265 and 295 days.

Solution.

Step 1: Sketch the curve.

The probability that 265<X<295265 < X < 295 is equal to the blue area under the curve.


Step 2:

Since μ=267\mu = 267 and σ=14\sigma = 14 we have:


P(265<X<295)=P(265267<Xμ<295267)=P(26526714<Xμσ<29526714)P \left(265 < X < 295\right) = P \left(265 - 267 < X - \mu < 295 - 267\right) = P \left(\frac{265 - 267}{14} < \frac{X - \mu}{\sigma} < \frac{295 - 267}{14}\right)


Since Z=σμσ26526714=0.14Z = \frac{\sigma - \mu}{\sigma} \cdot \frac{265 - 267}{14} = -0.14 and 29526714=2\frac{295 - 267}{14} = 2 we have:


P(265<X<295)=P(0.14<Z<2)P \left(265 < X < 295\right) = P \left(-0.14 < Z < 2\right)

Step 3: Use the standard normal table to conclude that

P(0.14<Z<2)=0.5329P \left(-0.14 < Z < 2\right) = 0.5329

Answer: 53.3%

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