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Among American women aged 20-29 years, 10% are less than 60.8 inches tall, 80% are between 60.8 inches and 67.6 inches tall, and 10% are more than 67.6 inches tall. Assuming that the height distribution can adequately be approximated by a normal curve, find the mean and standard deviation of the distribution. Use empirical rule to explain answer.

Sagot :

You are expected to use a z-score table to find how many standard deviations correspond to having 10% outside the bounds. It is like having 68% within 1σ. The table interpolates.

I'm sorry I looked everywhere and I still cannot find how to calculate with the data provided. I'm new to stats so any help is appreciated, if there is any more information let me know and I could solve it.

  • Using the normal distribution and the central limit theorem, it is found that the mean is of 64.2 inches, while the standard deviation is of 2.66 inches.
  • By the Empirical Rule, 99.7% of American women aged 20-29 years have heights between 58.88 and 69.52 inches.

In a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

  • It measures how many standard deviations the measure is from the mean.  
  • After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.

10% are less than 60.8 inches tall, which means that when [tex]X = 60.8[/tex], Z has a p-value of 0.1, so Z = -1.28, then:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]-1.28 = \frac{60.8 - \mu}{\sigma}[/tex]

[tex]60.8 - \mu = -1.28\sigma[/tex]

[tex]\mu = 60.8 + 1.28\sigma[/tex]

10% are more than 67.6 inches tall, hence, due to the symmetry of the normal distribution, when X = 67.6, Z = 1.28.

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]1.28 = \frac{67.6 - \mu}{\sigma}[/tex]

[tex]67.6 - \mu = 1.28\sigma[/tex]

[tex]\mu = 67.6 - 1.28\sigma[/tex]

Then, equaling both equations:

[tex]60.8 + 1.28\sigma = 67.6 - 1.28\sigma[/tex]

[tex]2.56\sigma = 6.8[/tex]

[tex]\sigma = \frac{6.8}{2.56}[/tex]

[tex]\sigma = 2.66[/tex]

[tex]\mu = 67.6 - 1.28\sigma = 67.6 - 1.28(2.66) = 64.2[/tex]

The mean is of 64.2 inches, while the standard deviation is of 2.66 inches.

By the Empirical Rule, 99.7% of the measures are within 3 standard deviations of the mean.

64.2 - 2(2.66) = 58.88

64.2 + 2(2.66) = 69.52

By the Empirical Rule, 99.7% of American women aged 20-29 years have heights between 58.88 and 69.52 inches.

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